{"id":29128,"date":"2021-09-30T21:39:48","date_gmt":"2021-09-30T13:39:48","guid":{"rendered":"https:\/\/swarma.org\/?p=29128"},"modified":"2021-09-30T21:39:48","modified_gmt":"2021-09-30T13:39:48","slug":"2021%e6%b3%9b%e5%a4%aa%e5%b9%b3%e6%b4%8b%e5%9b%a0%e6%9e%9c%e6%8e%a8%e6%96%ad%e5%a4%a7%e4%bc%9a%e6%80%bb%e7%bb%93","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=29128","title":{"rendered":"2021\u6cdb\u592a\u5e73\u6d0b\u56e0\u679c\u63a8\u65ad\u5927\u4f1a\u603b\u7ed3"},"content":{"rendered":"
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\u4ee5\u4e0b\u6211\u4eec\u4e3a\u5927\u5bb6\u68b3\u7406\u4e86\u672c\u6b21\u56e0\u679c\u63a8\u65ad\u5927\u4f1a\u7684\u62a5\u544a\u6458\u8981\u4e0e\u89c6\u9891\u56de\u653e\uff0c\u7ecf\u8fc7\u62a5\u544a\u4eba\u7684\u540c\u610f\uff0c\u90e8\u5206\u56de\u653e\u4f1a\u516c\u5f00\u5728\u96c6\u667a\u5b66\u56ed\u7684\u5e73\u53f0\uff0c\u70b9\u51fb\u6587\u672b\u201c<\/span>\u9605\u8bfb\u539f\u6587<\/span>\u201d\u5373\u53ef\u8df3\u8f6c\u5230\u8bfe\u7a0b\u9875\u9762\u3002\u5176\u4e2d\u6709\u4e9b\u5c1a\u672a\u53d1\u8868\u7684\u5de5\u4f5c\u62a5\u544a\u4eba\u4e0d\u5e0c\u671b\u516c\u5f00\uff0c\u9519\u8fc7\u76f4\u64ad\u7684\u540c\u5b66\u53ef\u80fd\u5c31\u8981\u7ee7\u7eed\u7b49\u5f85\u4e86\uff5e<\/span><\/p>\n


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\u56de\u653e\u94fe\u63a5\uff1ahttps:\/\/campus.swarma.org\/course\/3574<\/span><\/section>\n

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Is being an only child harmful to psychological health? Evidence from a local instrumental variable analysis of the China One-Child Policy<\/span><\/strong><\/span><\/p>\n

Fan Li\uff08Duke University\uff09<\/span><\/p>\n


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Fan Li<\/span><\/p>\n


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\u4f17\u6240\u5468\u77e5\uff0c\u4e2d\u56fd\u66fe\u7ecf\u6709\u4e00\u6bb5\u4e25\u683c\u7684\u8ba1\u5212\u751f\u80b2\u653f\u7b56\u3002\u4e00\u4e9b\u6587\u732e\u58f0\u79f0\u72ec\u751f\u5b50\u5973\u5bf9\u5fc3\u7406\u5065\u5eb7\u6709\u79ef\u6781\u5f71\u54cd\uff0c\u4f46\u8fd9\u4e9b\u65ad\u8a00\u5f88\u96be\u79f0\u5f97\u4e0a\u662f\u56e0\u679c\u7684\u3002\u4f5c\u8005\u5206\u6790\u4e86\u4e2d\u56fd\u5bb6\u5ead\u9762\u677f\u7814\u7a76\uff08CFPS\uff09\u6570\u636e\uff0c\u63cf\u8ff0\u7edf\u8ba1\u91cf\u663e\u793a\uff0c\u4e00\u5b69\u5bb6\u5ead\u66f4\u5bcc\u88d5\u3001\u6559\u80b2\u6c34\u5e73\u66f4\u9ad8\u3002\u56e0\u679c\u63a8\u65ad\u7684\u6311\u6218\u662f\uff0c\u662f\u5426\u662f\u72ec\u751f\u5b50\u5973\uff08\u5904\u7406\u53d8\u91cf\uff09\u4e0d\u662f\u968f\u673a\u5206\u914d\u7684\uff0c\u4f5c\u8005\u628a\u4e00\u5b69\u653f\u7b56\u5f53\u4f5c\u5de5\u5177\u53d8\u91cf\uff0c\u4e00\u5b69\u653f\u7b56\u5728\u4e0d\u540c\u5730\u533a\u6267\u884c\u5f3a\u5ea6\u4e0d\u540c\uff0c\u66f4\u503e\u5411\u4e8e\u662f\u5916\u751f\u7684\u3002\u7ed3\u5c40\u53d8\u91cf\u662f\u5e8f\u6570\u578b\u7684\uff0c\u5de5\u5177\u53d8\u91cf\u662f\u8fde\u7eed\u7684\uff0c\u6240\u4ee5\u4f5c\u8005\u91c7\u53d6\u4e86\u5c40\u90e8\u5de5\u5177\u53d8\u91cf\uff08local IV\uff09\u65b9\u6cd5\u3002<\/span><\/section>\n
\u5728\u4e00\u4e9b\u5047\u8bbe\u2014\u2014\u5916\u751f\u5de5\u5177\u53d8\u91cf\u3001\u975e\u5f31\u5de5\u5177\u53d8\u91cf\uff08\u6b63\u6027\uff09\u3001\u5904\u7406\u53d8\u91cf\u5173\u4e8e\u5de5\u5177\u53d8\u91cf\u7684\u5355\u8c03\u6027\u3001\u6392\u4ed6\u6027\u7ea6\u675f\u2014\u2014\u4e0b\uff0c\u5b9a\u4e49\u56e0\u679c\u53c2\u6570\u5904\u7406\u7ec4\u5e73\u5747\u56e0\u679c\u4f5c\u7528\uff08ATT\uff09\u3001\u653f\u7b56\u76f8\u5173\u7684\u56e0\u679c\u4f5c\u7528\uff08PRTE\uff09\u3001\u8fb9\u9645\u56e0\u679c\u4f5c\u7528\uff08MTE\uff09\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0cPRTE\u548cMTE\u662f\u5c40\u90e8\u4f5c\u7528\uff0c\u4f9d\u8d56\u4e8e\u5904\u7406\u53d8\u91cf\u5728\u4e0d\u540c\u5de5\u5177\u53d8\u91cf\u4e0b\u7684\u8054\u5408\u6f5c\u5728\u503c\uff0c\u7c7b\u4f3c\u4e8e\u4e3b\u5206\u5c42\u3002\u53ef\u4ee5\u628a\u5904\u7406\u53d8\u91cf\u5199\u6210\u9690\u9009\u62e9\u8868\u793a\uff0c\u8fd9\u6837\uff0cATT\u3001PRTE\u53ef\u4ee5\u5199\u6210MTE\u5173\u4e8e\u9690\u53d8\u91cf\u7684\u7279\u5b9a\u5206\u5e03\u79ef\u5206\u5f62\u5f0f\u3002\u8bbe\u5b9a\u9690\u9009\u62e9\u6a21\u578b\uff0c\u7528MCMC\u65b9\u6cd5\u8ba1\u7b97MTE\u7684\u540e\u9a8c\u3002\u4f5c\u8005\u53d1\u73b0\uff0c\u6210\u4e3a\u72ec\u751f\u5b50\u5973\u4f1a\u635f\u5bb3\u81ea\u6211\u62a5\u544a\u7684\u5fc3\u7406\u5065\u5eb7\u7a0b\u5ea6\u3002<\/span><\/section>\n
Fan Li, PhD, is an expert in causal inference, the field of statistics concerned with evaluating treatments in randomized experiments and observational studies. She earned her BSc in Mathematics from Peking University and her PhD in Biostatistics from Johns Hopkins University. Prior to joining the Duke faculty, she completed a postdoctoral fellowship at Harvard Medical School’s Department of Health Care Policy.<\/span><\/section>\n
Her research includes advanced Bayesian methods for causal inference, missing data, and variable selection. Dr. Li’s applied interests span the social sciences, economics, health policy, epidemiology and engineering.<\/span><\/section>\n

Personal Website:<\/span><\/p>\n

https:\/\/www2.stat.duke.edu\/~fl35\/<\/span><\/p>\n


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Two Dogmas of Methodology<\/span><\/strong><\/span><\/p>\n

Clark Glymour\uff08Carnegie Mellon University\uff09<\/span><\/p>\n


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Clark Glymour<\/span><\/p>\n


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\u4ece\u54f2\u5b66\u5c42\u9762\u5256\u6790\u4e86\u81ea\u52a8\u5316\u56e0\u679c\u641c\u7d22\u7684\u5408\u7406\u6027\uff0c\u53cd\u9a73\u4e86\u4e00\u4e9b\u6279\u8bc4\u8005\u5bf9\u4e8e\u4f7f\u7528\u89c2\u5bdf\u6027\u6570\u636e\u8fdb\u884c\u81ea\u52a8\u56e0\u679c\u641c\u7d22\u7684\u6279\u8bc4\uff0c\u4f8b\u5982\uff1a<\/span><\/section>\n
1. \u4f11\u8c1f\u8bc1\u660e\u4e86\u4e0d\u5b58\u5728\u56e0\u679c\u6027\uff1f\u4f46\u5b9e\u9645\u4e0a\u4f11\u8c1f\u5e76\u6ca1\u8bf4\u8fc7\uff01<\/span><\/section>\n
2. \u56e0\u679c\u6027\u53ea\u80fd\u4ece\u5bf9\u7167\u8bd5\u9a8c\u4e2d\u6216\u7684\u8bc1\u636e\uff1f\u4f46\u8bf4\u8fd9\u53e5\u8bdd\u7684\u8d39\u820d\u5c14\u4e5f\u7814\u7a76\u786e\u5b9a\u6027\u7684\u79d1\u5b66\uff01<\/span><\/section>\n
3. \u5b9e\u9a8c\u7ed3\u5c40\u9700\u8981\u4e8b\u5148\u786e\u5b9a\uff1f\u8fd9\u662f\u53e3\u53f7\uff0c\u5728\u5b9e\u9645\u7814\u7a76\u4e2d\u5ffd\u7565\u8fd9\u4e2a\u53e3\u53f7\uff01<\/span><\/section>\n
4. \u81ea\u52a8\u5316\u7684\u79d1\u5b66\u53d1\u73b0\u662f\u4e0d\u53ef\u80fd\u7684\uff08\u56e0\u4e3a\u89c2\u5bdf\u4e0d\u5230\u9690\u53d8\u91cf\u7b49\uff09\uff1f\u4f46\u5176\u5b9e\u5b58\u5728\u4e00\u4e9b\u89e3\u51b3\u7b97\u6cd5\u4e86\u3002<\/span><\/section>\n
5. \u591a\u91cd\u68c0\u9a8c\u6096\u8bba\uff1f\u53ef\u4ee5\u7528\u771f\/\u5047\u9633\u6027\u3001\u771f\/\u5047\u9634\u6027\u6743\u8861\uff0c\u6240\u6709\u7684\u6821\u6b63\u65b9\u6cd5\u90fd\u9700\u8981\u4e00\u4e2a\u5f85\u6821\u6b63\u7684\u96c6\u5408\u3002<\/span><\/section>\n
6. \u641c\u7d22\u5047\u8bbe\u4e86\u5fe0\u5b9e\u6027\u6216\u65e0\u5197\u4f59\u6027\uff1f\u4f46\u5b9e\u9645\u4e0a\u6709\u7b97\u6cd5\u4e0d\u9700\u8981\u3002<\/span><\/section>\n
\u4f5c\u8005\u8ba4\u4e3a\uff0c\u5bf9\u56e0\u679c\u5173\u7cfb\u81ea\u52a8\u641c\u7d22\u7684\u6279\u8bc4\u8981\u4e48\u662f\u9519\u8bef\u7684\uff0c\u8981\u4e48\u540c\u6837\u9002\u7528\u4e8e\u7528\u8fc7\u8bd5\u9a8c\u8fdb\u884c\u7684\u56e0\u679c\u63a8\u65ad\u3002\u4f5c\u8005\u76f8\u4fe1\uff0c\u968f\u7740\u65b0\u7b97\u6cd5\u7684\u53d1\u5c55\uff0c\u4ee5\u53ca\u5bf9\u6559\u6761\u7684\u653e\u5f03\uff0c\u81ea\u52a8\u5316\u7684\u3001\u6570\u636e\u9a71\u52a8\u7684\u641c\u7d22\u5c06\u4f1a\u5f97\u5230\u53d1\u5c55\u3002<\/span><\/section>\n
Glymour is the founder of the Philosophy Department at Carnegie Mellon University, a Guggenheim Fellow, a Fellow of the Center for Advanced Study in Behavioral Sciences, a Phi Beta Kappa lecturer,and is a Fellow of the statistics section of the AAAS. Glymour and his collaborators created the causal interpretation of Bayes nets.<\/span><\/section>\n

Personal Website: <\/span><\/p>\n

https:\/\/www.cmu.edu\/dietrich\/philosophy\/people\/emeritus\/glymour.html<\/span><\/p>\n


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Combining Observational and Experimental Data for Personalized Causal Prediction<\/span><\/strong><\/span><\/p>\n

Sofia Triantafillou\uff08University of Pittsburgh\uff09<\/span><\/p>\n


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Sofia Triantafillou<\/span><\/p>\n


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\u8fd9\u4e00\u7814\u7a76\u7684\u52a8\u673a\u662f\uff0c\u6211\u4eec\u6709\u5904\u7406X\u3001\u7ed3\u5c40Y\uff0c\u4ee5\u53ca\u4e00\u4e9b\u5904\u7406\u524d\u7684\u534f\u53d8\u91cf\uff0c\u7136\u540e\u60f3\u9884\u6d4bY”do(X)\u3002\u89c2\u5bdf\u6027\u6570\u636e\u7684\u6837\u672c\u91cf\u5927\uff0c\u4f46\u7531\u4e8e\u6df7\u6742\uff0c\u56e0\u679c\u4f5c\u7528\u4f30\u8ba1\u6709\u504f\uff1b\u8bd5\u9a8c\u6570\u636e\u6837\u672c\u91cf\u5c0f\uff0c\u4f46\u56e0\u679c\u4f5c\u7528\u4f30\u8ba1\u65e0\u504f\u3002\u5982\u4f55\u7ed3\u5408\u4e8c\u8005\u5462\uff1f\u95ee\u9898\u662f\uff0c\u4e3a\u4e86\u66f4\u597d\u5730\u9884\u6d4b\uff0c\u8981\u7eb3\u5165\u54ea\u4e9b\u534f\u53d8\u91cf\u5462\uff1f<\/span><\/section>\n
\u5728\u89c2\u5bdf\u6027\u9884\u6d4b\u4e2d\uff0c\u6211\u4eec\u60f3\u8981\u9884\u6d4bP(Y”V)\uff1a\u5982\u679c\u5728\u56e0\u679c\u56fe\u4e2dZ\u662fY\u7684\u9a6c\u5c14\u53ef\u592b\u8fb9\u754c\uff0c\u90a3\u4e48P(Y”V)=P(Y”Z)\uff0c\u6709\u8bb8\u591a\u65b9\u6cd5\u4ece\u89c2\u5bdf\u6027\u6570\u636e\u4e2d\u5b66\u4e60\u9a6c\u5c14\u53ef\u592b\u8fb9\u754c\u3002\u800c\u5bf9\u4e8e\u56e0\u679c\u9884\u6d4b\uff0c\u6211\u4eec\u60f3\u8981\u9884\u6d4b\u7684\u662fP(Y”do(X),V)\u3002\u6211\u4eec\u628a\u5e72\u9884\u56fe\u4e2dY\u7684\u9a6c\u5c14\u53ef\u592b\u8fb9\u754c\u79f0\u4e3a\u5e72\u9884\u9a6c\u5c14\u53ef\u592b\u8fb9\u754c\uff08IMB\uff09\u3002\u5982\u679c\u6709\u8bd5\u9a8c\u6570\u636e\uff0c\u90a3\u4e48\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528MB\u7b97\u6cd5\u8bc6\u522bIMB\uff1b\u5982\u679c\u53ea\u6709\u89c2\u5bdf\u6027\u6570\u636e\uff0c\u6211\u4eec\u5e76\u4e0d\u603b\u80fd\u8bc6\u522b\u51faIMB\u3002<\/span><\/section>\n
\u518d\u5b9a\u4e49\u56e0\u679c\u9a6c\u5c14\u79d1\u592b\u8fb9\u754c\uff08CMB\uff09\u4e3a\u4e00\u4e2a\u96c6\u5408Z\uff0c\u4f7f\u5f97P(Y”do(X),ZX)\u53ef\u8bc6\u522b\uff0cZ\u5305\u542b\u4e86Y”do(X)\u7684\u6700\u5927\u4fe1\u606f\u5e76\u4e14Z\u662f\u6700\u5c0f\u7684\u3002CMB\u662f\u9a6c\u5c14\u79d1\u592b\u8fb9\u754c\u7684\u5b50\u96c6\uff0c\u4e0d\u4e00\u5b9a\u662f\u552f\u4e00\u7684\u3002\u5982\u679cIMB=CMB\uff0c\u90a3\u4e48\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528IMB+CMB\uff1b\u5426\u5219\uff0c\u6211\u4eec\u53ef\u4ee5\u53ea\u4f7f\u7528IMB\u3002\u6211\u4eec\u53ef\u4ee5\u7528\u8d1d\u53f6\u65af\u5f97\u5206\u68c0\u9a8cZ\u662f\u5426\u662fCMB\u6216IMB\u3002<\/span><\/section>\n
Sofia Triantafillou is an assistant Professor, Department of Biomedical Informatics in University of Pittsburgh<\/span><\/section>\n
Research interests:<\/span><\/section>\n
Developing causal discovery methods in the presence of latent variables, methods for integrative analysis of multiple experiments, modelling and application of causal discovery on neural and biological data.<\/span><\/section>\n

Personal Website: <\/span><\/p>\n

https:\/\/www.dbmi.pitt.edu\/node\/54091<\/span><\/p>\n


<\/p>\n


<\/p>\n

Personalized Dynamic Treatment Regimes in Continuous Time: A Bayesian Approach for Optimizing Clinical Decisions with Timing<\/span><\/strong><\/span><\/p>\n

Yanxun Xu\uff08Johns Hopkins University\uff09<\/span><\/p>\n


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<\/p>\n

Yanxun Xu<\/span><\/p>\n


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\u8be5\u7814\u7a76\u7684\u4e00\u4e2a\u80cc\u666f\u662f\uff0c\u5728\u60a3\u8005\u8fdb\u884c\u80be\u79fb\u690d\u540e\uff0c\u533b\u751f\u5bf9\u60a3\u8005\u8fdb\u884c\u968f\u8bbf\uff0c\u786e\u5b9a\u65b0\u7684\u6cbb\u7597\u548c\u4e0b\u4e00\u6b21\u968f\u8bbf\u65e5\u671f\u3002\u6211\u4eec\u8981\u7814\u7a76\u7684\u95ee\u9898\u662f\uff0c\u808c\u9150\u968f\u65f6\u95f4\u5982\u4f55\u53d8\u5316\uff1f\u808c\u9150\u5982\u4f55\u5f71\u54cd\u751f\u5b58\uff1f\u533b\u751f\u5982\u4f55\u6cbb\u7597\u60a3\u8005\uff1f\u6700\u540e\u9700\u8981\u627e\u5230\u6700\u4f18\u7684\u6cbb\u7597\u7b56\u7565\u3002\u8fd9\u6d89\u53ca\u5230\u56db\u4e2a\u6a21\u578b\uff0c\u5206\u522b\u662f\u7eb5\u5411\u6a21\u578b\u3001\u751f\u5b58\u6a21\u578b\u3001\u5242\u91cf\u91cf\u6a21\u578b\u548c\u968f\u8bbf\u6a21\u578b\u3002<\/span><\/p>\n

\u6211\u4eec\u8bb0\u5f55\u4e86\u4e0d\u540c\u65f6\u95f4\u7684\u60a3\u8005\u4e34\u5e8a\u6d4b\u91cf\u503c\u548c\u533b\u751f\u51b3\u7b56\uff0c\u601d\u8def\u662f\u7528\u8d1d\u53f6\u65af\u8054\u5408\u6a21\u578b\u62df\u5408\u6a21\u578b\u3002\u7528\u7ebf\u6027\u6df7\u5408\u6548\u5e94\u6a21\u578b\u628a\u7eb5\u5411\u6a21\u578b\u548c\u5242\u91cf\u6a21\u578b\u8054\u7cfb\u8d77\u6765\uff0c\u518d\u901a\u8fc7\u628a\u7eb5\u5411\u6548\u5e94\u3001\u5242\u91cf\u6548\u5e94\u3001\u968f\u8bbf\u6a21\u578b\u7eb3\u5165\u5230\u5371\u9669\u7387\u51fd\u6570\u4e2d\uff0c\u628a\u751f\u5b58\u6a21\u578b\u548c\u5176\u4f59\u4e09\u4e2a\u6a21\u578b\u8054\u7cfb\u8d77\u6765\u3002\u5229\u7528\u8d1d\u53f6\u65af\u8054\u5408\u6a21\u578b\uff0c\u4e3a\u672a\u77e5\u53c2\u6570\u8bbe\u5b9a\u5148\u9a8c\u5206\u5e03\uff0c\u5c31\u80fd\u83b7\u5f97\u540e\u9a8c\u5206\u5e03\u3002\u6700\u540e\uff0c\u6700\u5927\u5316\u4e00\u4e2a\u6536\u76ca\u51fd\u6570\uff0c\u5f97\u5230\u6700\u4f18\u6cbb\u7597\u65b9\u6848\u3002\u4f5c\u8005\u628a\u8be5\u65b9\u6cd5\u5e94\u7528\u4e8e\u5b9e\u9645\u7684\u80be\u79fb\u690d\u6570\u636e\u4e0a\u3002<\/span><\/p>\n

Yanxun Xu is an assistant professor in the Department of Applied Mathematics and Statistics. Her research focuses on Bayesian statistics; cancer genomics; clinical trial design; graphical models; nonparametric Bayesian statistical inference for big data analysis; high-throughput genomic date; and proteomics data. She earned her doctorate (2013) at Rice University; her master\u2019s (2010) at Texas Tech University; and her bachelor\u2019s (2007) at Beijing University of Aeronautics and Astronautics.<\/span><\/p>\n

Personal Website\uff1a<\/span><\/p>\n

https:\/\/engineering.jhu.edu\/ams\/faculty\/yanxun-xu\/<\/span><\/p>\n


<\/p>\n


<\/p>\n

Higher order Targeted Maximum Likelihood Estimation and its Applications<\/span><\/strong><\/span><\/p>\n

Mark van der Laan(UCBerkeley)<\/span><\/p>\n


<\/span><\/p>\n

<\/p>\n

Mark van der Laan<\/span><\/p>\n


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\u901a\u5e38\uff0c\u5728\u7edf\u8ba1\u5b66\u4e60\u4e2d\uff0c\u6211\u4eec\u4f1a\u5efa\u7acb\u4f30\u8ba1\u91cf\u7684\u8fd1\u4f3c\u62bd\u6837\u6982\u7387\u5206\u5e03\uff0c\u4ece\u800c\u8fdb\u884c\u7edf\u8ba1\u63a8\u65ad\u3002\u5728\u76ee\u6807\u5b66\u4e60\u4e2d\uff0c\u6211\u4eec\u57fa\u4e8e\u6570\u636e\u7684\u73b0\u5b9e\u7edf\u8ba1\u6a21\u578b\uff0c\u6784\u5efa\u4f30\u8ba1\u503c\u548c\u7f6e\u4fe1\u533a\u95f4\uff0c\u8fd9\u5c31\u9700\u8981\u9ad8\u5ea6\u6570\u636e\u9002\u5e94\u6027\u7684\u7edf\u8ba1\u65b9\u6cd5\u3002<\/span><\/section>\n
\u4e00\u9636TMLE\u7684\u6b65\u9aa4\u662f\uff0c\u7ed9\u5b9a\u4e00\u4e2a\u521d\u59cb\u4f30\u8ba1\u91cf\uff0c\u6784\u5efa\u5168\u5c40\u6700\u5c0f\u6709\u5229\u53c2\u6570\u5b50\u6a21\u578b\uff0c\u6c42\u6781\u5927\u4f3c\u7136\u4f30\u8ba1\u5e76\u63d2\u5165\u76ee\u6807\u4f30\u8ba1\uff0c\u89e3\u6709\u6548\u5f71\u54cd\u66f2\u7ebf\u4f30\u8ba1\u65b9\u7a0b\u3002\u5b9a\u4e49\u76ee\u6807\u53c2\u6570\u7684\u7cbe\u786e\u4e8c\u9636\u4f59\u9879\uff0c\u4e0e\u5f97\u5206\u51fd\u6570\u76f8\u7ed3\u5408\uff0c\u4ea7\u751f\u76ee\u6807\u6781\u5927\u4f3c\u7136\u4f30\u8ba1\u7684\u5173\u952e\u65b9\u7a0b\u3002\u5982\u679c\u4f59\u9879\u8db3\u591f\u5c0f\uff0c\u90a3\u4e48\u8fd9\u6837\u7684\u5230\u7684\u4f30\u8ba1\u662f\u6e10\u8fdb\u6709\u6548\u7684\u63d2\u5165\u4f30\u8ba1\u91cf\u3002\u4e00\u9636TMLE\u4f18\u5316\u4e86\u76ee\u6807\u53c2\u6570\u5173\u4e8e\u7ecf\u9a8c\u5747\u503c\u7684\u7cbe\u786e\u603b\u4f59\u9879\u3002\u5047\u8bbe\u5197\u4f59\u51fd\u6570\u662f\u53f3\u8fde\u5de6\u6781\u3001\u6709\u754c\u53d8\u5dee\u7684\uff0c\u5219\u4f7f\u7528\u521d\u59cb\u4f30\u8ba1\u7684TMLE\u662f\u6e10\u8fdb\u6709\u6548\u7684\u3002<\/span><\/section>\n
\u5728\u4e8c\u9636TMLE\u4e2d\uff0c\u4ecd\u7136\u4f7f\u7528\u4e00\u4e2a\u521d\u59cb\u4f30\u8ba1\u3002\u5b9a\u4e49\u4e00\u9636TMLE\u7684\u7cbe\u786e\u603b\u4f59\u9879\uff0c\u7528\u7c7b\u4f3c\u7684\u65b9\u6cd5\u8ba9\u4f59\u9879\u6700\u5c0f\u3002\u4f7f\u7528\u4e8c\u9636TMLE\u53ef\u4ee5\u663e\u8457\u5730\u964d\u4f4e\u504f\u5dee\u3002\u8fdb\u4e00\u6b65\u5730\uff0ck\u9636TMLE\u5c06\u5141\u8bb8k+1\u9636\u5dee\u5f02\u7684\u7ebf\u6027\u5c55\u5f00\u3002<\/span><\/section>\n
The goal of Mark’s research group is to develop statistical methods to estimate\/learn causal and non-causal parameters of interest, based on potentially complex and high dimensional data from randomized clinical trials or observational longitudinal studies, or from cross-sectional (e.g., case-control sampling) studies. The model assumptions under which these methods are valid should be clearly formulated, so that they can be subject to scrutiny. The estimates should be accompanied by confidence regions for the true parameter values or other types of confidence measures (e.g., variability\/reproducibility of clusters as measured by the bootstrap). The longitudinal data structures may involve high dimensional measurements such as whole genome profiles at various points in time; censoring and missingness of data due to a subject not responding well to treatment (or not feeling well); and changes of treatment at various points in time, based on variables related to the outcome of interest. The methods are designed to rely on as few assumptions as possible on nuisance parameters so that they provide maximally objective statistical inference and testing procedures. To develop and refine these methods, work with simulated and real data in collaboration with biologists, medical researchers, epidemiologists, and others.<\/span><\/section>\n

Personal Website:<\/span><\/p>\n

https:\/\/statistics.berkeley.edu\/people\/mark-van-der-laan<\/span><\/p>\n


<\/p>\n


<\/p>\n

Decomposition, Identification and Multiply Robust Estimation of Natural Mediation Effects with Multiple Mediators<\/span><\/strong><\/span><\/p>\n

Fan Xia \uff08National Alzheimer’s Coordinating Center, University of Washington, Seattle\uff09<\/span><\/p>\n


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<\/p>\n

Fan Xia<\/span>
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\u5728\u56e0\u679c\u63a8\u65ad\u4e2d\uff0c\u8bc6\u522b\u6027\u5047\u8bbe\u5e2e\u52a9\u6211\u4eec\u627e\u5230\u76f4\u63a5\u7684\u76ee\u6807\u4f30\u8ba1\u91cf\uff0c\u7edf\u8ba1\u5047\u8bbe\u5e2e\u52a9\u6211\u4eec\u5f97\u5230\u4f30\u8ba1\u91cf\u3002\u5904\u7406\u53d8\u91cf\u548c\u7ed3\u5c40\u53d8\u91cf\u4e2d\u95f4\u53ef\u80fd\u6709\u591a\u6761\u8def\u5f84\uff0c\u6211\u4eec\u628a\u56e0\u679c\u4f5c\u7528\u5206\u89e3\u4e3a\u4e24\u90e8\u5206\uff1a\u603b\uff08\u81ea\u7136\uff09\u76f4\u63a5\u4f5c\u7528\u548c\u603b\uff08\u81ea\u7136\uff09\u975e\u76f4\u63a5\u4f5c\u7528\u3002\u5f53\u5b58\u5728\u591a\u4e2a\u4e2d\u4ecb\u65f6\uff0c\u7279\u522b\u662f\u5982\u679c\u56e0\u679c\u7ed3\u6784\u672a\u77e5\uff0c\u6211\u4eec\u4e0d\u80fd\u5047\u8bbe\u4e2d\u4ecb\u53d8\u91cf\u4e4b\u95f4\u7684\u56e0\u679c\u7ed3\u6784\uff0c\u6240\u4ee5\u8003\u8651\u8fd9\u6837\u7684\u5206\u89e3\uff1a\u603b\u975e\u76f4\u63a5\u4f5c\u7528=\u901a\u8fc7\u7b2ck\u4e2a\u4e2d\u4ecb\u7684\u201c\u51fa\u201d\u975e\u76f4\u63a5\u4f5c\u7528\uff08EIE\uff09+\u4e2d\u4ecb\u4e4b\u95f4\u7684\u4ea4\u4e92\u4f5c\u7528\uff08INT\uff09\u3002<\/span><\/p>\n

\u8fd9\u6837\u5206\u89e3\u7684\u597d\u5904\u662f\uff0c\u5f53\u5bf9\u4e2d\u4ecb\u53d8\u91cf\u7684\u5e72\u9884\u4e0d\u4f1a\u5f71\u54cd\u4e2d\u4ecb\u7684\u6f5c\u5728\u7ed3\u679c\u65f6\uff0cEIE\u5c31\u7b49\u4e8e\u4f20\u7edf\u7684\u603b\u975e\u76f4\u63a5\u4f5c\u7528\u3002\u5982\u679c\u4e2d\u4ecb\u4e4b\u95f4\u6ca1\u6709\u4ea4\u4e92\u4f5c\u7528\uff0cINT\u7b49\u4e8e\u96f6\u3002\u4f5c\u8005\u4ecb\u7ecd\u4e86\u4e24\u7ec4\u8bc6\u522b\u6027\u5047\u8bbe\uff0c\u7528\u6765\u8bc6\u522b\u5e73\u5747\u56e0\u679c\u4f5c\u7528\u6216\u5404\u4e2a\u5206\u89e3\u7684\u5b50\u4f5c\u7528\uff0c\u5e76\u5728\u8fd9\u4e9b\u5047\u8bbe\u4e0b\u5efa\u7acb\u5de5\u4f5c\u53c2\u6570\u6a21\u578b\uff0c\u7814\u7a76\u4e86\u77e9\u4f30\u8ba1\u548c\u56db\u91cd\u7a33\u5065\u4f30\u8ba1\u3002<\/span><\/p>\n

Fan Xia is a postdoctoral fellow at NACC. Her primary areas of interest including causal inference and cluster randomized trials, especially causal mediation analysis and stepped wedge designs.<\/span><\/p>\n

Website:<\/span><\/section>\n
https:\/\/escience.washington.edu\/people\/postdoctoral-fellow-at-national-alzheimers-coordinating-center-epidemiology\/<\/span><\/section>\n

<\/section>\n

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Deep Stable Learning and Heterogeneous Risk Minimization<\/span><\/strong><\/span><\/section>\n
Peng Cui(Tsinghua University)<\/span><\/section>\n

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<\/section>\n
Peng Cui<\/span><\/section>\n

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\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u5728\u8bb8\u591a\u9886\u57df\u53d6\u5f97\u4e86\u5de8\u5927\u7684\u6210\u529f\uff0c\u4f46\u7edd\u5927\u90e8\u5206\u65b9\u6cd5\u90fd\u662f\u57fa\u4e8e\u72ec\u7acb\u540c\u5206\u5e03\u5047\u5b9a\uff08\u8fd9\u91cc\u6307\u8bad\u7ec3\u96c6\u7684\u5206\u5e03\u4e0e\u6d4b\u8bd5\u96c6\u7684\u5206\u5e03\u4e00\u81f4\uff09\uff0c\u8fd9\u6781\u5927\u5730\u9650\u5236\u4e86\u5b83\u4eec\u7684\u5e94\u7528\u8303\u56f4\u3002\u5f53\u6d4b\u8bd5\u96c6\u4e0e\u8bad\u7ec3\u96c6\u7684\u5206\u5e03\u5b58\u5728\u8f83\u5927\u5dee\u5f02\u65f6\uff0c\u6a21\u578b\u5728\u6d4b\u8bd5\u96c6\u7684\u8868\u73b0\u5c06\u4f1a\u5f88\u5dee\uff0c\u56e0\u800c\u6a21\u578b\u7f3a\u4e4f\u7a33\u5b9a\u6027\uff0c\u8fd9\u79cd\u73b0\u8c61\u79f0\u4e3aout-of-distribution generalization problem\u3002<\/span><\/p>\n

\u5173\u4e8e\u8fd9\u4e00\u95ee\u9898\uff0cCui\u9996\u5148\u5f15\u5165\u4e86\u7a33\u5b9a\u5b66\u4e60\u8fd9\u4e00\u6982\u5ff5\uff0c\u5b83\u6307\u5728\u4e0d\u540c\u6d4b\u8bd5\u96c6\u5206\u5e03\u4e0b\u8868\u73b0\u90fd\u826f\u597d\u4e14\u7a33\u5b9a\u7684\u65b9\u6cd5\u3002\u5176\u6b21\u6307\u51fa\u8981\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\u7684\u5173\u952e\u6280\u672f\u662f\u627e\u51fa\u56e0\u679c\u7279\u5f81\u3002\u4ee5AI\u8bc6\u522b\u5c0f\u72d7\u7684\u4e3a\u4f8b\uff0c\u80cc\u666f\u4e2d\u7684\u8349\u5730\u53ef\u4ee5\u770b\u4f5c\u662f\u76f8\u5173\u4fe1\u606f\uff0c\u5b83\u662f\u5bfc\u81f4\u7b97\u6cd5\u6cdb\u5316\u80fd\u529b\u5f31\u7684\u4e3b\u8981\u539f\u56e0\u3002\u8981\u4f7f\u5f97\u7b97\u6cd5\u5728\u4e0d\u540c\u7684\u80cc\u666f\u4e0b\u90fd\u80fd\u8f83\u597d\u5730\u8bc6\u522b\u51fa\u5c0f\u72d7\uff0c\u9700\u8981\u6392\u9664\u8fd9\u90e8\u5206\u76f8\u5173\u4fe1\u606f\uff0c\u627e\u51fa\u523b\u753b\u5c0f\u72d7\u7279\u5f81\u7684\u56e0\u679c\u7279\u5f81\u3002<\/span><\/p>\n

\u901a\u8fc7\u501f\u9274\u56e0\u679c\u63a8\u65ad\u4e2d\u52a0\u6743\u4ee5\u4f7f\u7279\u5f81\u53d8\u91cf\u4fdd\u6301\u5e73\u8861\uff0c\u4ece\u800c\u53bb\u9664\u6df7\u6742\u7684\u601d\u8def\uff0cCui\u63d0\u51fa\u4e86\u4e00\u7cfb\u5217\u57fa\u4e8e\u52a0\u6743\u7684\u7a33\u5b9a\u5b66\u4e60\u65b9\u6cd5\uff0c\u5e76\u4ecb\u7ecd\u4e86\u5176\u4e2d\u7684\u4e00\u4e9b\u7b97\u6cd5\u7ec6\u8282\u548c\u7406\u8bba\u7ed3\u679c\u3002\u7a33\u5b9a\u5b66\u4e60\u65b9\u6cd5\u9009\u62e9\u6743\u91cd\u7684\u76ee\u6807\u662f\u5c3d\u91cf\u5254\u9664\u7279\u5f81\u53d8\u91cf\u95f4\u7684\u76f8\u5173\u6027\uff0c\u4ee5\u5254\u9664\u56fe\u7247\u4e2d\u5173\u8054\u4fe1\u606f\u3001\u4fdd\u7559\u56e0\u679c\u4fe1\u606f\uff0c\u4ece\u800c\u4ea7\u751f\u66f4\u7a33\u5b9a\u7684\u4f30\u8ba1\u3002<\/span><\/p>\n

\u6b64\u5916\uff0cCui\u4ece\u56e0\u679c\u4e0d\u53d8\u9884\u6d4b\u7684\u89d2\u5ea6\u51fa\u53d1\uff0c\u63d0\u51fa\u4e86\u4e00\u4e2a\u83b7\u5f97\u7a33\u5b9a\u5b66\u4e60\u7684\u5f02\u8d28\u6027\u98ce\u9669\u6781\u5c0f\u5316\u6846\u67b6\u3002<\/span><\/p>\n

Associate Professor (Tenured),Lab of Media and Network\uff0cDepartment of Computer Science and Technology. He has published more than 100 papers in famous conferences and periodicals in the field of data mining and multimedia, and has won the best paper awards in 7 international conferences and journals. He won the ACM China New Star Award in 2015 and the CCF-IEEECS Young Scientist Award in 2018. He is currently an outstanding member of CCF and a senior member of IEEE.<\/span><\/p>\n

Personal Website: <\/span><\/section>\n
http:\/\/pengcui.thumedialab.com\/<\/span><\/section>\n

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<\/span><\/section>\n
Inference on effect size after multiple hypothesis testing<\/span><\/strong><\/span><\/section>\n
Ryo Okui(Seoul National University)<\/span><\/section>\n

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<\/section>\n
Ryo Okui<\/span><\/section>\n

<\/span><\/section>\n

\u901a\u8fc7\u5047\u8bbe\u68c0\u9a8c\u7684\u65b9\u6cd5\u9009\u51fa\u4e00\u4e9b\u611f\u5174\u8da3\u7684\u53c2\u6570\u540e\uff0c\u518d\u5bf9\u8fd9\u4e9b\u9009\u51fa\u7684\u53c2\u6570\u4f5c\u7edf\u8ba1\u63a8\u65ad\u7684\u65b9\u6cd5\u79f0\u4e3a\u9009\u62e9\u63a8\u65ad\u6216\u4e8b\u540e\u63a8\u65ad\u3002\u4f8b\u5982\uff1a\u5728\u4e00\u4e2a\u7814\u7a76\u8d22\u653f\u8865\u8d34\u5bf9\u6148\u5584\u6350\u8d60\u5f71\u54cd\u7684RCT\u8bd5\u9a8c\u4e2d\uff0ct-\u68c0\u9a8c\u7ed3\u679c\u5982\u4e0b\uff1a<\/span><\/p>\n

\u7ed3\u679c\u8868\u660e\uff0c\u8d22\u653f\u8865\u8d34\u53ea\u5bf9$given including match\u548cresponse rate\uff08\u7ea2\u8272\u90e8\u5206\uff09\u6709\u663e\u8457\u5f71\u54cd\u3002\u82e5\u6211\u4eec\u53ea\u62a5\u544a\u8fd9\u4e24\u4e2a\u7ed3\u679c\uff0c\u76f4\u63a5\u5c06\u8fd9\u4e24\u4e2a\u7ed3\u679c\u5c55\u73b0\u51fa\u6765\u7684\u505a\u6cd5\u662f\u4e0d\u6b63\u786e\u7684\u3002\u56e0\u4e3a\u8fd9\u4e24\u4e2a\u7ed3\u679c\u5df2\u7ecf\u662f\u7ecf\u8fc7\u6211\u4eec\u5220\u9009\u8fc7\u540e\u7684\u7ed3\u679c\u3002\u4e8b\u5b9e\u4e0a\uff0c\u73b0\u5b9e\u751f\u6d3b\u4e2d\u7ecf\u5e38\u51fa\u73b0\u7c7b\u4f3c\u201d\u62a5\u559c\u4e0d\u62a5\u5fe7\u201d\u7684\u95ee\u9898\uff0c\u6211\u4eec\u53ea\u5c06\u90a3\u4e9b\u663e\u8457\u7684\u7ed3\u679c\u62a5\u544a\u51fa\u6765\uff0c\u800c\u5c06\u4e0d\u663e\u8457\u7684\u7ed3\u679c\u9690\u85cf\u8d77\u6765\uff0c\u8fd9\u6837\u5c55\u73b0\u51fa\u7684\u7ed3\u8bba\u662f\u6709\u504f\u7684\u3002\u6211\u4eec\u60f3\u77e5\u9053\u5728\u9009\u51fa\u8fd9\u4e9b\u53d8\u91cf\u4e2d\uff0c\u6392\u9664\u201c\u62a5\u559c\u4e0d\u62a5\u5fe7\u201d\u5f15\u8d77\u7684\u504f\u5dee\u540e\uff0c\u7a76\u7adf\u8fd8\u6709\u591a\u5c11\u4e2a\u53d8\u91cf\uff08\u79f0\u4e3aeffect size\uff09\u662f\u663e\u8457\u7684\u3002Okui\u63d0\u51fa\u5229\u7528\u622a\u65ad\u6b63\u6001\u5206\u5e03\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u786e\u5b9aeffect size\u7684\u65b9\u6cd5\u3002<\/span><\/p>\n

Ryo is an Associate Professor in Department of Economics, Seoul National University. His research interest includes  Microeconometrics, Applied microeconomics And Experimental Economics.<\/span><\/p>\n

Personal Website:<\/span><\/section>\n
https:\/\/econ.snu.ac.kr\/people\/faculty?mode=view&profidx=88<\/span><\/section>\n
 <\/span><\/section>\n
 <\/span><\/section>\n
Improved covariate adjusted average treatment effect estimate<\/span><\/strong><\/span><\/section>\n
Jinzhu Jia(Peking University)<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Jinzhu JIA<\/span><\/section>\n

<\/span><\/section>\n

\u6839\u636eNeyman-Rubin\u6a21\u578b\uff0c\u5728\u968f\u673a\u5bf9\u7167\u8bd5\u9a8c\u4e2d\uff0c\u5e73\u5747\u5904\u7406\u6548\u5e94\uff08ATE\uff09\u7684\u65e0\u504f\u4f30\u8ba1\u4e3a\u5904\u7406\u7ec4\u4e0e\u63a7\u5236\u7ec4\u7684\u7ed3\u5c40\u5747\u503c\u4e4b\u5dee\uff0c\u4f46\u8fd9\u4e2a\u4f30\u8ba1\u6ca1\u6709\u7528\u4e0a\u534f\u53d8\u91cf\u7684\u4fe1\u606f\u3002\u5b9e\u9645\u4e0a\uff0c\u5c3d\u7ba1\u534f\u53d8\u91cf\u4e0e\u5904\u7406\u53d8\u91cf\u72ec\u7acb\uff0c\u4f46\u5b83\u53ef\u80fd\u4f1a\u5f71\u54cd\u6f5c\u5728\u7ed3\u679c\uff0c\u56e0\u6b64\u4ece\u76f4\u89c9\u4e0a\u770b\uff0c\u52a0\u5165\u534f\u53d8\u91cf\u7684\u4fe1\u606f\u662f\u80fd\u591f\u6539\u5584ATE\u4f30\u8ba1\u6548\u7387\u7684\u3002<\/span><\/p>\n

\u5df2\u6709\u7814\u7a76\u8868\u660e\uff0c\u82e5\u7ed3\u5c40\u4e3a\u8fde\u7eed\u578b\u53d8\u91cf\u65f6\uff0c\u76f4\u63a5\u5c06\u534f\u53d8\u91cf\u653e\u5165\u5230\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u4e2d\uff0c\u82e5\u9650\u5b9a\u5904\u7406\u7ec4\u4e0e\u63a7\u5236\u7ec4\u6a21\u578b\u4e2d\u534f\u53d8\u91cf\u7684\u7cfb\u6570\u4e00\u6837\uff0c\u8fd9\u6837\u5f97\u5230\u7684ATE\u4f30\u8ba1\u5e76\u4e0d\u4e00\u5b9a\u4f1a\u6539\u5584\u76f4\u63a5\u7528\u7ed3\u5c40\u5747\u503c\u4e4b\u5dee\u5f97\u5230\u7684\u4f30\u8ba1\uff1b\u6709\u8da3\u7684\u662f\uff0c\u82e5\u5141\u8bb8\u5904\u7406\u7ec4\u4e0e\u63a7\u5236\u7ec4\u6a21\u578b\u4e2d\u534f\u53d8\u91cf\u7684\u7cfb\u6570\u4e0d\u4e00\u6837\uff0c\u65e0\u8bba\u7ebf\u6027\u6a21\u578b\u662f\u5426\u6307\u5b9a\u6b63\u786e\uff0c\u8fd9\u6837\u5f97\u5230\u7684ATE\u4f30\u8ba1\u4e00\u5b9a\u4f1a\u6539\u5584\u76f4\u63a5\u7528\u7ed3\u5c40\u5747\u503c\u4e4b\u5dee\u5f97\u5230\u7684\u4f30\u8ba1\uff0c\u8fd9\u4e2a\u7ed3\u679c\u5373\u4fbf\u5728\u9ad8\u7ef4\u60c5\u5f62\u4e0b\u4e5f\u6210\u7acb\u3002<\/span><\/p>\n

\u4e00\u4e2a\u81ea\u7136\u7684\u95ee\u9898\u662f\uff1a\u82e5\u7ed3\u5c40\u4e3a\u4e8c\u503c\u53d8\u91cf\u65f6\uff0c\u4f7f\u7528\u903b\u8f91\u56de\u5f52\u8fdb\u884c\u56de\u5f52\u8c03\u6574\uff0c\u4e0a\u8ff0\u7ed3\u8bba\u4f9d\u7136\u6210\u7acb\u5417\uff1f\u7ed3\u8bba\u662f\u4e0d\u4e00\u5b9a\u6210\u7acb\u3002Jia\u53d1\u73b0\uff1a\u903b\u8f91\u56de\u5f52\u8c03\u6574\u5f97\u5230\u7684ATE\u4f30\u8ba1\u662f\u4e00\u4e2a\u6e10\u8fd1\u6b63\u6001\u7684\u76f8\u5408\u4f30\u8ba1\uff1b\u82e5\u903b\u8f91\u56de\u5f52\u6307\u5b9a\u6b63\u786e\uff0c\u5219\u903b\u8f91\u56de\u5f52\u8c03\u6574\u4f30\u8ba1\u6bd4\u7528\u7b80\u5355\u7ed3\u5c40\u5747\u503c\u4e4b\u5dee\u5f97\u5230\u7684\u4f30\u8ba1\u66f4\u6709\u6548\u7387\uff0c\u4e5f\u6bd4\u7528\u7ebf\u6027\u56de\u5f52\u8c03\u6574\u4f30\u8ba1\u66f4\u6709\u6548\u7387\uff1b\u82e5\u903b\u8f91\u56de\u5f52\u6307\u5b9a\u9519\u8bef\uff0c\u7c7b\u4f3c\u7684\u7ed3\u8bba\u4e0d\u6210\u7acb\u3002\u56e0\u6b64\uff0c\u5f53Y\u4e3a\u4e8c\u503c\u53d8\u91cf\u65f6\u7684\u7ed3\u8bba\u4e0eY\u4e3a\u8fde\u7eed\u578b\u53d8\u91cf\u7684\u7ed3\u8bba\u4e0d\u5bf9\u79f0\u3002<\/span><\/p>\n

\u901a\u8fc7\u5206\u6790\u8fd9\u79cd\u4e0d\u5bf9\u79f0\u6027\u7684\u539f\u56e0\uff0cJia\u63d0\u51fa\u4e86\u57fa\u4e8e\u5e7f\u4e49\u4f30\u8ba1\u65b9\u7a0b\uff08GEE\uff09\u5dee\u5f02ATE\u4f30\u8ba1\uff0c\u8fd9\u4e2a\u4f30\u8ba1\u662f\u6709\u4e00\u4e2a\u6709\u6548\u4f30\u8ba1\uff0c\u56e0\u800c\u6bd4\u7528\u7b80\u5355\u7ed3\u5c40\u5747\u503c\u4e4b\u5dee\u5f97\u5230\u7684\u4f30\u8ba1\u66f4\u6709\u6548\u3002<\/span><\/p>\n

Jinzhu JIA, researcher and doctoral supervisor, School of Public Health, Peking University. He graduated from Peking University in January 2009. From January 2009 to December 2010, UCBerkeley postdoctoral. From January 2011 to January 2018, he worked in the Department of probability and Statistics of the School of Mathematical Sciences of Peking University and the Statistics Center of Peking University, during which he visited Harvard University for one year. He joined the School of Public Health of Peking University in February 2018. The main research interests are high-dimensional statistical inference, big data analysis, statistical machine learning, causal inference, biological statistics and so on. He has published many papers in the fields of theoretical research on variable selection methods, the application of high-dimensional data and big data’s statistical learning, and causal inference. He serves as deputy secretary-general of China probability and Statistics Society, executive director of Young statisticians’ Association, director of Computing Statistics Branch of Field Statistics Research Society, and director of High-dimensional data Statistics Association of Field Statistics Research Society.<\/span><\/p>\n

Personal Website: <\/span><\/section>\n
https:\/\/sph.pku.edu.cn\/info\/1418\/4187.html<\/span><\/section>\n

<\/section>\n

<\/section>\n
Covariate-Specific Treatment Effect Curve in Precision Using Observational Data with High-Dimensional Covariates<\/span><\/strong><\/span><\/section>\n
Xiao-Hua Zhou(Peking University)<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Xiao-Hua Zhou<\/span><\/section>\n

<\/span><\/section>\n

\u968f\u7740\u57fa\u7840\u79d1\u5b66\u7684\u8fdb\u6b65\uff0c\u6240\u6536\u96c6\u5230\u7684\u6570\u636e\u8d8a\u6765\u8d8a\u591a\uff0c\u7cbe\u51c6\u533b\u7597\u5728\u73b0\u4ee3\u751f\u7269\u533b\u5b66\u7814\u7a76\u4e2d\u5907\u53d7\u5173\u6ce8\uff0c\u5b83\u65e8\u5728\u6839\u636e\u75c5\u4eba\u7279\u5f81\u5b9a\u5236\u5316\u5730\u8fdb\u884c\u5904\u7406\u3002\u7cbe\u51c6\u533b\u7597\u7684\u6210\u529f\u4f9d\u8d56\u4e8e\u7cbe\u786e\u7a33\u5b9a\u7684\u4f30\u8ba1\u4e2a\u6027\u5316\u6cbb\u7597\u89c4\u5219\u7684\u7edf\u8ba1\u65b9\u6cd5\u3002<\/span><\/p>\n

\u5f53\u524d\u4f30\u8ba1\u4e2a\u6027\u5316\u6cbb\u7597\u89c4\u5219\u7684\u65b9\u6cd5\u53ef\u5927\u4f53\u5206\u4e3a\u4e24\u7c7b\u3002\u4e00\u7c7b\u662f\u76f4\u63a5\u6700\u5c0f\u5316\u6216\u6700\u5927\u5316\u603b\u4f53\u7684\u5e73\u5747\u7ed3\u5c40\uff0c\u8fd9\u7c7b\u65b9\u6cd5\u901a\u5e38\u5c06\u4f18\u5316\u95ee\u9898\u8f6c\u5316\u4e3a\u4e00\u4e2a\u52a0\u6743\u7684\u5206\u7c7b\u95ee\u9898\uff0c\u7136\u540e\u91c7\u7528\u4e00\u4e9b\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u8fdb\u884c\u4f30\u8ba1\uff0c\u5176\u5c40\u9650\u6027\u5728\u4e8e\u96be\u4ee5\u83b7\u5f97\u6709\u6548\u7684\u7f6e\u4fe1\u533a\u95f4\uff1b\u53e6\u4e00\u7c7b\u65b9\u6cd5\u662f\u901a\u8fc7\u4f30\u8ba1\u5f02\u8d28\u6027\u56e0\u679c\u6548\u5e94\u548c\u76f8\u5e94\u7684\u7f6e\u4fe1\u533a\u95f4\u6216\u7f6e\u4fe1\u5e26\u6765\u9009\u62e9\u6700\u4f18\u7684\u4e2a\u6027\u5316\u6cbb\u7597\u89c4\u5219\u3002<\/span><\/p>\n

Zhou\u63d0\u51fa\u7684\u4e00\u7cfb\u5217\u65b9\u6cd5\u5c5e\u4e8e\u7b2c\u4e8c\u7c7b\uff0c\u4f46\u5141\u8bb8\u6570\u636e\u662f\u9ad8\u7ef4\u7684\u4e14\u672a\u89c2\u6d4b\u6df7\u6742\u5b58\u5728\u3002\u9488\u5bf9\u4e0d\u540c\u7684\u7ed3\u5c40\u7c7b\u578b\uff0cZhou\u9996\u5148\u5b9a\u4e49\u4e86\u4e0d\u540c\u7684\u534f\u53d8\u91cf\u7279\u5f02\u56e0\u679c\u4f5c\u7528CSTE (covariate-specific treatment effect)\u66f2\u7ebf\uff0c\u8868\u793a\u5f02\u8d28\u6027\u56e0\u679c\u6548\u5e94\uff0c\u5177\u6709\u5f88\u597d\u7684\u56e0\u679c\u89e3\u91ca\u3002\u5728\u9ad8\u7ef4\u60c5\u5f62\u4e0b\uff0c\u5f53\u89c2\u5bdf\u6570\u636e\u4e2d\u5b58\u5728\u672a\u89c2\u6d4b\u6df7\u6742\u65f6\uff0cZhou\u901a\u8fc7\u5de5\u5177\u53d8\u91cf\u5b9a\u4e49\u4e86\u5c40\u90e8CSTE\u66f2\u7ebf\uff0c\u8ba8\u8bba\u4e86\u8bc6\u522b\u6027\uff0c\u5e76\u7ed9\u51fa\u4e86\u4f30\u8ba1\u548c\u76f8\u5e94\u7684\u7f6e\u4fe1\u533a\u95f4\u3002<\/span><\/p>\n

Professor and doctoral supervisor of Peking University, currently head of Department of Biostatistics, School of Public Health, Peking University, Director of data Center of traditional Chinese Medicine University of Beijing big data Research Institute, Deputy Director of big data Center of Medical and Health, Director of Biostatistics Laboratory of Beijing International Mathematical Research Center, Chairman of China Branch of International Association of Biological Statistics, President of Biomedical Statistics Branch of China Society for Field Statistics, member of American Association for the Advancement of Science. Member of the American Statistical Society and member of the International Institute of Statistics. At present, he is a top journal of biostatistics, associate editor of StatisticsinMedicine, and editor of Biostatistics&Epidemiology, China Branch of the International Society for Biostatistics. In the top international journal of statistics and biostatistics, J.R.Statist.Soc.B Journal of the American Statistical Association, Biometrika, Ann.Statist,Biometrics,Stat.Med. More than 240 SCI academic papers have been published, of which more than 130 are the first or correspondent authors.<\/span><\/p>\n

Personal Website:<\/span><\/section>\n
http:\/\/faculty.washington.edu\/azhou\/<\/span><\/section>\n

<\/section>\n

<\/section>\n
Do-calculus and modularity in causal Markov category<\/span><\/strong><\/span><\/section>\n
Jiji Zhang(Hong Kong Baptist University)<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Jiji Zhang<\/span>
<\/section>\n

<\/section>\n

\u8003\u8651\u7c7b\u522b\u578b\u7684\u968f\u673a\u53d8\u91cf\u3002\u4e00\u7ec4\u53d8\u91cfV\u4e0a\u7684\u56e0\u679c\u8d1d\u53f6\u65af\u7f51\u7edc\u5305\u542b\u6709\u5411\u65e0\u73af\u56fe\u4ee5\u53ca\u4e00\u7ec4\u6761\u4ef6\u6982\u7387\u51fd\u6570\uff0c\u7531\u6b64\u53ef\u4ee5\u6839\u636e\u5e72\u9884\u51c6\u5219\u5f97\u5230\u4e00\u7cfb\u5217\u5e72\u9884\u6761\u4ef6\u5206\u5e03\u3002\u8fd9\u4e9b\u6761\u4ef6\u6982\u7387\u548c\u5916\u751f\u673a\u5236\u7ec4\u6210\u4e86\u56e0\u679c\u6a21\u5757\uff0c\u5e72\u9884\u6253\u7834\u4e86\u76f8\u5e94\u6a21\u5757\uff0c\u4f46\u4e0d\u6539\u53d8\u5176\u4ed6\u6a21\u5757\u3002\u6211\u4eec\u53ef\u4ee5\u7528\u7c7b\u522b\u7406\u8bba\u6765\u8868\u8ff0\uff0c\u7c7b\u522b\u7531\u5bf9\u8c61\u548c\u7bad\u5934\u7ec4\u6210\uff0c\u7bad\u5934\u4ece\u57df\u6307\u5411\u4e0a\u57df\u3002\u79f0F\u662f\u51fd\u5b50\uff0c\u5982\u679cF\u4fdd\u6301\u57df\u548c\u4e0a\u57df\u3001\u4fdd\u6301\u590d\u5408\u548c\u6052\u540c\u3002\u5e26\u6709\u5355\u79ef\u7684\u7c7b\u522b\u79f0\u4e3a\u5355\u7c7b\u522b\u3002\u56e0\u679c\u7406\u8bba\u5efa\u7acb\u5728\u6709\u5411\u65e0\u73af\u56fe\u4e0a\uff0c\u6001\u5c04\u8868\u793a\u56e0\u679c\u673a\u5236\u6216\u56e0\u679c\u8fc7\u7a0b\u3002\u5728\u56e0\u679c\u7406\u8bba\u4e2d\uff0c\u53ef\u4ee5\u5b9a\u4e49\u4ece\u5e72\u9884\u53d8\u91cf\u5230\u7ed3\u679c\u53d8\u91cf\u7684\u56e0\u679c\u6548\u5e94\u6001\u5c04\u3002\u8bb2\u8005\u7528Trek\u5206\u79bb\u7684\u6982\u5ff5\u8bf4\u660e\u4e86\u56e0\u679c\u6548\u5e94\u53ef\u5206\u89e3\u7684\u6761\u4ef6\u3002\u8fd9\u4e00\u7814\u7a76\u53cd\u6620\u4e86do\u6f14\u7b97\u662f\u56e0\u679c\u7406\u8bba\u7684\u6838\u5fc3\u3002<\/span><\/p>\n

Zhang Jiji received his PhD in Logic, Computation, and Methodology from the Department of Philosophy at Carnegie Mellon University in 2006, and taught previously at California Institute of Technology and Lingnan University, before joining the Department of Religion and Philosophy at Hong Kong Baptist University in 2021. His philosophical interests lie mainly in philosophy of science, formal epistemology, and logic. The interdisciplinary part of his research centers around the topic of causation, addressing both the epistemological and logical aspects of causal reasoning, and the statistical and computational aspects of causal modelling and discovery. His work has appeared in both premier journals in philosophy, such as Journal of Philosophical Logic, British Journal for the Philosophy of Science, Philosophy of Science, Synthese, etc., and in leading venues in computer science and statistics, such as Artificial Intelligence, Journal of Machine Learning Research, Statistical Science, as well as some top conference proceedings in the field of Artificial Intelligence. With the new opportunities provided by the Ethical and Theoretical AI lab, he aims to work with colleagues across and beyond the university to apply causal modelling tools to shed new light on some important issues with implications for AI ethics, including especially machine learning interpretability, algorithmic bias, and AI-powered personalized medicine.<\/span><\/p>\n

Personal Website:  <\/span><\/section>\n
https:\/\/research.hkbu.edu.hk\/researcher\/prof-jiji-zhang<\/span><\/section>\n

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Hidden causal representation learning via surrogate variables<\/span><\/strong><\/span><\/section>\n
Ruichu Cai(Guangdong University of Technology)<\/span><\/section>\n

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Ruichu Cai<\/span><\/section>\n

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\u5728\u4f17\u591a\u9690\u53d8\u91cf\u4e2d\u53d1\u73b0\u56e0\u679c\u5173\u7cfb\u5728\u5f88\u591a\u9886\u57df\u90fd\u53d7\u5230\u4e86\u5173\u6ce8\u3002\u5982\u4f55\u53d1\u73b0\u9690\u53d8\u91cf\uff1f\u5982\u4f55\u4ece\u89c2\u6d4b\u6570\u636e\u4e2d\u786e\u5b9a\u9690\u53d8\u91cf\u7684\u56e0\u679c\u5173\u7cfb\uff1f\u5f53\u5b58\u5728\u56db\u4e2a\u89c2\u6d4b\u53d8\u91cf\u65f6\uff0c\u53ef\u4ee5\u7528Triad\u6761\u4ef6\u5224\u65ad\u5b83\u4eec\u4e4b\u4e0a\u5b58\u5728\u51e0\u4e2a\u9690\u53d8\u91cf\uff0c\u4f46\u4e0d\u80fd\u8bc6\u522b\u9690\u53d8\u91cf\u4e4b\u95f4\u7684\u65b9\u5411\uff0c\u800c\u4e14\u5f53\u53ea\u6709\u4e09\u4e2a\u53d8\u91cf\u65f6\u65e0\u6cd5\u786e\u5b9a\u9690\u53d8\u91cf\u7684\u6570\u91cf\u3002\u80fd\u5426\u7528\u9ad8\u9636\u7684\u77e9\u4fe1\u606f\u5b8c\u6210\u4efb\u52a1\u5462\uff1f\u5bf9\u4e8e\u975e\u9ad8\u65af\u72ec\u7acb\u566a\u58f0\u7684\u60c5\u5f62\uff0c\u53ef\u4ee5\u7528\u53d8\u91cf\u5173\u7cfb\u7684\u4e0d\u5bf9\u79f0\u6765\u5224\u65ad\u9690\u53d8\u91cf\u4e4b\u95f4\u7684\u65b9\u5411\u3002\u8fdb\u800c\uff0c\u8bb2\u8005\u63d0\u51fa\u5e7f\u4e49\u72ec\u7acb\u566a\u58f0\u6761\u4ef6\uff0c\u7528\u89c2\u6d4b\u53d8\u91cf\u4f5c\u4e3a\u4ee3\u7406\u53d8\u91cf\uff0c\u53ef\u4ee5\u5f97\u5230\u4e00\u4e9b\u5173\u4e8e\u534f\u65b9\u5dee\u7684\u6761\u4ef6\u3002Triad\u6761\u4ef6\u53ef\u4ee5\u770b\u4f5c\u662f\u5e7f\u4e49\u72ec\u7acb\u566a\u58f0\u6761\u4ef6\u7684\u7279\u4f8b\u3002\u6700\u540e\uff0c\u8bb2\u8005\u8003\u8651\u4e86\u7ebf\u6027\u975e\u9ad8\u65af\u9690\u53d8\u91cf\u6a21\u578b\u3002\u57fa\u4e8e\u5e7f\u4e49\u72ec\u7acb\u566a\u58f0\u6a21\u578b\uff0c\u5148\u627e\u51fa\u56e0\u679c\u96c6\u7fa4\uff0c\u7136\u540e\u786e\u5b9a\u9690\u53d8\u91cf\u4e4b\u95f4\u7684\u65b9\u5411\u3002<\/span><\/p>\n

Ruichu Cai is a professor and doctoral supervisor at the School of Computer Science, Guangdong University of Technology. Received a doctorate in engineering from South China University of Technology in 2010 and entered Guangdong University of Technology; was named associate professor in 2011; was named professor and doctoral supervisor in 2015; went to National University of Singapore during 2007-2009 and 2013-2014 Visited and studied with UIUC Advanced Digital Science Research Center. He has presided over 2 National Natural Science Foundation of China, 1 Provincial Outstanding Youth Fund, 1 Pearl River Science and Technology Rising Star and other projects. Dr. Cai focuses on research in fields such as causality discovery and high-dimensional data mining. More than 30 papers have been published, including important conferences in the fields of ICML, SIGMOD, SDM, and internationally renowned journals such as TNNLS, Bioinformatics, TKDE, NN, and PR; 4 authorized invention patents, 2 of which have been implemented in NetEase\u2019s mailbox; related achievements have been implemented successively Won the second prize of Provincial Science and Technology Award (the fourth completer), and the first prize of Provincial Science and Technology Award (the third completer).<\/span><\/p>\n

Personal Website:<\/span><\/section>\n
https:\/\/computer.gdut.edu.cn\/info\/1077\/1773.htm<\/span><\/section>\n

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<\/section>\n
Causality for Extreme values<\/span><\/strong><\/span><\/section>\n
Sebastian Engelke(University of Geneva)<\/span><\/section>\n


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Sebastian Engelke<\/span>
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\u6781\u503c\u7406\u8bba\u4e3b\u8981\u7528\u4e8e\u5206\u6790\u4e00\u4e9b\u7f55\u89c1\u73b0\u8c61\uff1a\u91d1\u878d\u5371\u673a\uff0c\u6d2a\u707e\uff0c\u53f0\u98ce\uff0c\u706b\u707e\u7b49\u3002\u7528\u7edf\u8ba1\u7684\u8bed\u8a00\uff0c\u5373\u5173\u5fc3\u7684\u4e8b\u4ef6\u90fd\u5904\u4e8e\u6240\u6709\u4e8b\u4ef6\u5206\u5e03\u7684\u5c3e\u90e8\u3002\u6700\u8fd1\uff0c\u5bf9\u6781\u7aef\u4e8b\u4ef6\u7684\u5f52\u56e0\u5206\u6790\u5f15\u8d77\u4e86\u5e7f\u6cdb\u7684\u5173\u6ce8\uff0c\u5b83\u65e8\u5728\u627e\u51fa\u54ea\u4e9b\u662f\u5f15\u8d77\u6781\u7aef\u4e8b\u4ef6\u53d1\u751f\u7684\u98ce\u9669\u56e0\u7d20\u3002<\/span><\/p>\n

Engelke\u7684\u62a5\u544a\u5206\u4e3a\u4e24\u90e8\u5206\u3002\u7b2c\u4e00\u90e8\u5206\u4e3a\u91cd\u5c3e\u6a21\u578b\u4e2d\u7684\u56e0\u679c\u53d1\u73b0\u65b9\u6cd5\u3002Engelke\u9996\u5148\u4ecb\u7ecd\u4e86\u56e0\u679c\u5c3e\u7cfb\u6570\uff08causal tail coefficient\uff09\u7684\u5b9a\u4e49\uff0c\u5b83\u53ef\u7528\u4e8e\u4efb\u610f\u4e24\u4e2a\u53d8\u91cf\u56e0\u679c\u7684\u65b9\u5411\u3002\u5bf9\u4e8e\u4efb\u610fp\u4e2a\u53d8\u91cf\uff0c\u56e0\u679c\u5c3e\u7cfb\u6570\u53ef\u7528\u4e8e\u6062\u590d\u5b83\u4eec\u7684\u56e0\u679c\u5e8f\uff0c\u5e76\u6709\u7406\u8bba\u4fdd\u8bc1\u3002<\/span><\/p>\n

\u7b2c\u4e8c\u90e8\u5206\u8ba8\u8bba\u91cd\u5c3e\u5206\u5e03\u7684\u5206\u4f4d\u6570\u5904\u7406\u6548\uff08QTE\uff09\u7684\u4f30\u8ba1\u3002QTE\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\u573a\u666f\uff0c\u5982\u5b83\u53ef\u4ee5\u56de\u7b54\u4e0b\u5217\u95ee\u9898\uff1a\u4e00\u4e2a\u6559\u80b2\u8ba1\u5212\u80fd\u591f\u589e\u52a0\u6700\u7a77\u76840.1%\u7684\u4eba\u591a\u5c11\u6536\u5165\uff1fEngelke\u7ed9\u51fa\u4e86\u6781\u503cQTE\uff08\u5f53\u5206\u4f4d\u6570\u8d8b\u4e8e1\u65f6\u7684QTE\uff09\u7684\u4f30\u8ba1\uff0c\u5e76\u8ba8\u8bba\u4e86\u6781\u503cQTE\u4f30\u8ba1\u7684\u6e10\u8fd1\u6027\u8d28\u3002<\/span><\/p>\n

Sebastian is assistant professor at the Research Center for Statistics at the University of Geneva, where is holding an Eccellenza grant. He was visiting professor at the Department of Statistical Sciences at the University of Toronto from 2018 \u2013 2019. Previously he was an Ambizione fellow at EPF Lausanne with Anthony Davison. Sebastian did his studies in Mathematics at University of G\u00f6ttingen and UC Berkeley, and he finished his PhD as a Deutsche Telekom Foundation fellow in 2013 at the University of G\u00f6ttingen with Martin Schlather. His research interests are in extreme value theory, spatial statistics, graphical models and data science. Since 2018, Sebastian is Associate Editor of the Springer journal Extremes and the Scandinavian Journal of Statistics.<\/span><\/p>\n

Personal Website:  <\/span><\/section>\n
http:\/\/www.sengelke.com\/<\/span><\/section>\n

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<\/section>\n
Semiparametric inference for nonignorable nonresponse with paradata<\/span><\/strong><\/span><\/section>\n
Wang Miao(Peking University)<\/span><\/section>\n

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<\/section>\n
Wang Miao<\/span><\/section>\n

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Miao\u9996\u5148\u4ecb\u7ecd\u4e86Paradata\u3002Paradata\u6307\u8ddf\u8e2a\u8c03\u67e5\u6570\u636e\u6536\u96c6\u8fc7\u7a0b\u7684\u8bb0\u5f55\uff0c\u5982\u7535\u8bdd\u8bbf\u8c08\u7684\u65e5\u671f\uff0c\u8bbf\u8c08\u65f6\u95f4\uff0c\u6c9f\u901a\u65b9\u5f0f\uff0c\u8bbf\u8c08\u5bf9\u8c61\u7684\u6001\u5ea6\u7b49\u3002\u8fd9\u4e9b\u4fe1\u606f\u4e0d\u5c5e\u4e8e\u7ed3\u6784\u5316\u7684\u6570\u636e\uff0c\u4f46\u5b83\u4e5f\u63d0\u4f9b\u4e86\u4e00\u4e9b\u4fe1\u606f\u3002\u56e0\u6b64\uff0c\u5408\u7406\u5730\u5229\u7528Paradata\u80fd\u6539\u5584\u8c03\u67e5\u7684\u8d28\u91cf\u3002\u56de\u53eb\u6570\u636e\u4e3aParadata\u4e2d\u7684\u4e00\u79cd\uff0c\u5b83\u8bb0\u5f55\u4e86\u5c1d\u8bd5\u8bbf\u8c08\u7684\u6b21\u6570\uff0c\u63d0\u4f9b\u4e86\u5173\u4e8e\u6570\u636e\u7f3a\u5931\u673a\u5236\u7684\u4fe1\u606f\u3002<\/span><\/p>\n

\u7ed3\u6784\u5316\u6570\u636e\u4e2d\u7ecf\u5e38\u4f1a\u51fa\u73b0\u7f3a\u5931\u6570\u636e\u3002\u975e\u968f\u673a\u7f3a\u5931MNAR\u7684\u96be\u70b9\u5728\u4e8e\u4f30\u8ba1\u91cf\u901a\u5e38\u662f\u4e0d\u53ef\u8bc6\u522b\u7684\uff0c\u76ee\u524d\u89e3\u51b3\u65b9\u6cd5\u5206\u4e3a\u4e09\u7c7b\uff1a\u7ea6\u675f\u53c2\u6570\u6a21\u578b\u3001\u5de5\u5177\u53d8\u91cf\u65b9\u6cd5\u548c\u5f71\u5b50\u53d8\u91cf\u65b9\u6cd5\u3002\u8fd9\u4e09\u7c7b\u65b9\u6cd5\u90fd\u9700\u8981\u5f3a\u7684\u5047\u8bbe\u6761\u4ef6\uff0c\u5b9e\u9645\u4e2d\u672a\u5fc5\u6ee1\u8db3\u3002<\/span><\/p>\n

Miao\u63d0\u51fa\u4e86\u4e00\u79cd\u5229\u7528\u56de\u53eb\u6570\u636e\u5904\u7406MNAR\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u5b83\u5c06\u7ea6\u675f\u53c2\u6570\u6a21\u578b\u63a8\u5e7f\u5230\u975e\u53c2\u6a21\u578b\uff0c\u8ba8\u8bba\u4e86\u53ef\u8bc6\u522b\u6027\u5047\u8bbe\uff0c\u5f97\u5230\u4e86\u534a\u53c2\u6709\u6548\u754c\uff0c\u5e76\u7ed9\u51fa\u4e86\u4e00\u7cfb\u5217\u534a\u53c2\u6709\u6548\u4f30\u8ba1\u3002<\/span><\/p>\n

Wang is currently an assistant professor in the Department of Probability and Statistics at Peking University. He studied undergraduate and Ph.D. in the School of Mathematical Sciences at Peking University from 2008 to 2017. He did postdoctoral research at the Department of Biostatistics at Harvard University from 2017 to 2018. He joined Peking University in 2018.<\/span><\/p>\n

Personal Website: <\/span><\/section>\n
https:\/\/www.math.pku.edu.cn\/teachers\/mwfy\/<\/span><\/section>\n

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Accounting for selection bias due to death in estimating the effect of wealth shock on cognition for the Health and Retirement Study<\/span><\/strong><\/span><\/section>\n
Mike Elliott(Vertex)<\/span><\/section>\n
Vincent Tan (University of Michigan and Vertex)<\/span><\/section>\n

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\u8bb2\u8005\u7814\u7a76\u4e86\u7ecf\u6d4e\u6c34\u5e73\u964d\u4f4e\u5bf9\u4e8e\u9000\u4f11\u4eba\u5458\u8ba4\u77e5\u6c34\u5e73\u7684\u5f71\u54cd\u3002\u7136\u800c\u7531\u4e8e\u6570\u636e\u6765\u6e90\u5e76\u4e0d\u662f\u968f\u673a\u5316\u5b9e\u9a8c\uff0c\u540c\u65f6\u8fd8\u5b58\u5728\u968f\u65f6\u95f4\u53d8\u5316\u7684\u6df7\u6742\u56e0\u7d20\u4ee5\u53ca\u6b7b\u4ea1\u622a\u65ad\u7684\u95ee\u9898\uff0c\u5bfc\u81f4\u5bf9\u56e0\u679c\u4f5c\u7528\u7684\u5206\u6790\u5341\u5206\u590d\u6742\u3002\u5bf9\u4e8e\u65f6\u95f4\u76f8\u5173\u7684\u6df7\u6742\u53d8\u91cf\u95ee\u9898\uff0cRobins\u63d0\u51fa\u7684\u8fb9\u9645\u7ed3\u6784\u6a21\u578b\u53ef\u4ee5\u53bb\u9664\u8fd9\u4e9b\u6df7\u6742\u5f97\u5230\u56e0\u679c\u4f5c\u7528\u7684\u65e0\u504f\u4f30\u8ba1\u3002\u7136\u800c\u8fb9\u9645\u7ed3\u6784\u6a21\u578b\u5e76\u6ca1\u6709\u8003\u8651\u6b7b\u4ea1\u622a\u65ad\u9020\u6210\u7684\u5f71\u54cd\u3002\u56e0\u6b64\u8bb2\u8005\u91c7\u7528\u4e86\u4e3b\u5206\u5c42\u7684\u65b9\u6cd5\u6765\u4f30\u8ba1\u5e78\u5b58\u8005\u56e0\u679c\u4f5c\u7528\u3002\u8bb2\u8005\u5229\u7528BARTps\u7b97\u6cd5\u6765\u4ee3\u66ff\u4e4b\u524d\u7684PENCOMP\u7b97\u6cd5\uff0c\u5229\u7528\u586b\u8865\u7684\u65b9\u6cd5\u4f30\u8ba1\u51fa\u53cd\u4e8b\u5b9e\u7684\u751f\u5b58\u72b6\u6001\u4ee5\u53ca\u6f5c\u5728\u7ed3\u679c\uff0c\u8bb2\u8005\u901a\u8fc7\u5b9e\u9645\u6570\u636e\u5206\u6790\u8868\u660e\u7ecf\u6d4e\u6c34\u5e73\u4e0b\u964d\u5bf9\u4e8e\u9000\u4f11\u4eba\u5458\u8ba4\u77e5\u6c34\u5e73\u5e76\u6ca1\u6709\u663e\u8457\u7684\u8d1f\u9762\u6548\u5e94\u3002<\/span><\/section>\n

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Vincent Tan<\/span><\/section>\n

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Vincent started working at Vertex Pharmaceuticals as a Senior Biostatistician in Jan 2020. He have served as a Study Biostatistician for 6 studies – 2 successfully data base locked, 2 transitioned, and 2 ongoing (1 of which just had a Interim Analysis data cut). 3 protocols and 1 SAP were completed during this period. The disease areas that he have worked in are Cystic Fibrosis and Type 1 Diabetes. The study designs that he have been involved in are Phase 1 BA, Phase 3 Mechanistic studies, Phase 3 Open Label Studies, and Phase 1\/2 studies. He look forward to continue developing my knowledge on the role of a Study Biostatistician in the pharmaceutical industry at Vertex Pharmaceuticals.<\/span><\/section>\n

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Michael Elliott<\/span><\/section>\n

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Michael Elliott is a Professor of Biostatistics at the University of Michigan School of Public Health and Research Scientist at the Institute for Social Research. He received his PhD in biostatistics in 1999 from the University of Michigan. Prior to joining the University of Michigan in 2005, he held an appointment as an Assistant Professor at the Department of Biostatistics and Epidemiology at the University of Pennsylvania School of Medicine, and prior to that as a Visiting Professor of Biostatistics at the University of Michigan School of Public Health and as a Visiting Research Scientist at the University of Michigan Transportation Research Institute. Dr. Elliott’s statistical research interests focus around the broad topic of “missing data,” including the design and analysis of sample surveys, casual and counterfactual inference, and latent variable models. He has worked closely with collaborators in injury research, pediatrics, women’s health, and the social determinants of physical and mental health. Dr. Elliott serves as an Associate Editor for the Journal of the American Statistical Association and the Journal of Survey Statistics and Methodology.<\/span><\/p>\n

Personal Website: <\/span><\/section>\n
https:\/\/sph.umich.edu\/faculty-profiles\/elliott-michael.html<\/span><\/section>\n

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Causal inference on distribution functions<\/span><\/strong><\/span><\/section>\n
Linbo Wang(University of Toronto)<\/span><\/section>\n

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<\/section>\n
Linbo Wang<\/span><\/section>\n

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\u4f20\u7edf\u56e0\u679c\u63a8\u65ad\u5f80\u5f80\u662f\u8003\u8651\u5904\u7406\u5bf9\u4e8e\u67d0\u4e2a\u5b9e\u503c\u7684\u7ed3\u679c\u53d8\u91cf\u7684\u56e0\u679c\u6548\u5e94\uff0c\u800c\u8bb2\u8005\u5219\u5173\u5fc3\u7684\u662f\u5904\u7406\u5bf9\u4e8e\u5206\u5e03\u51fd\u6570\u7684\u5f71\u54cd\u3002\u8fd9\u662f\u56e0\u4e3a\u5728\u8bb2\u8005\u6240\u7814\u7a76\u7684\u95ee\u9898\u662f\u5173\u4e8e\u7ed3\u5a5a\u5bf9\u4e8e\u8fd0\u52a8\u91cf\u7684\u5206\u5e03\u60c5\u51b5\u7684\u5f71\u54cd\u3002\u5f53\u7ed3\u5c40\u53d8\u91cf\u662f\u4e00\u4e2a\u5206\u5e03\u65f6\uff0c\u9996\u5148\u8981\u5b9a\u4e49\u5173\u4e8e\u5206\u5e03\u7684\u5e73\u5747\uff0c\u4ee5\u53ca\u4e24\u4e2a\u5206\u5e03\u4e4b\u95f4\u7684\u5dee\u503c\u3002\u5bf9\u4e8e\u7b2c\u4e00\u4e2a\u95ee\u9898\uff0c\u8bb2\u8005\u63d0\u51fa\u5229\u7528Wasserstein barycenter\u6765\u5f97\u5230\u4e0d\u540c\u5206\u5e03\u4e4b\u95f4\u7684\u5e73\u5747\u503c\uff0c\u8bb2\u8005\u6307\u51fa\u8fd9\u6837\u5f97\u5230\u7684\u5e73\u5747\u80fd\u591f\u53cd\u6620\u51fa\u539f\u6765\u5206\u5e03\u7684\u4e00\u4e9b\u6027\u8d28\uff1b\u800c\u5bf9\u4e8e\u7b2c\u4e8c\u4e2a\u95ee\u9898\uff0c\u8bb2\u8005\u5229\u7528\u5206\u4f4d\u6570\u7ed9\u51fa\u4e86\u6bd4\u8f83\u5408\u9002\u7684\u6f5c\u5728\u7ed3\u679c\u4e4b\u95f4\u7684\u5dee\uff0c\u5e76\u5177\u6709\u56e0\u679c\u7684\u542b\u4e49\u3002\u5728\u5b9a\u4e49\u597d\u56e0\u679c\u53c2\u6570\u540e\uff0c\u8bb2\u8005\u7ed9\u51fa\u4e86\u7c7b\u4f3c\u4e8e\u5b9e\u503c\u7ed3\u5c40\u53d8\u91cf\u65f6\u7684\u4f30\u8ba1\u65b9\u6cd5\uff0c\u5305\u62ec\u9006\u6982\u7387\u52a0\u6743\uff0c\u56de\u5f52\u4ee5\u53ca\u53cc\u7a33\u5065\u65b9\u6cd5\u3002<\/span><\/p>\n

Linbo Wang received his PhD in Biostatistics from University of Washington in 2016. Prior to joining the University of Toronto, he spent two years at Harvard Causal Inference Program. His research interest includes causal inference, graphical models, and modern statistical inference in infinite-dimensional models. He is the recipient of several research awards, including a NSERC Discovery Accelerator Supplement in 2019.<\/span><\/p>\n

Personal Website:<\/span><\/section>\n
https:\/\/www.statistics.utoronto.ca\/people\/directories\/all-faculty\/linbo-wang<\/span><\/section>\n

<\/section>\n

<\/section>\n
Parameterizing and Simulating from Causal Models<\/span><\/strong><\/span><\/section>\n
Robin Evans (Oxford University)<\/span><\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Robin Evans<\/span><\/section>\n

<\/span><\/section>\n

\u5728\u56e0\u679c\u63a8\u65ad\u95ee\u9898\u4e2d\uff0c\u6211\u4eec\u5f80\u5f80\u4f1a\u7ed9\u51fa\u6f5c\u5728\u7ed3\u679c\u7684\u6a21\u578b\uff0c\u6b64\u65f6\u6211\u4eec\u5982\u4f55\u5229\u7528\u6211\u4eec\u8bbe\u5b9a\u7684\u6a21\u578b\u6a21\u62df\u51fa\u6570\u636e\u7684\u771f\u5b9e\u5206\u5e03\u5e76\u4e0d\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u95ee\u9898\u3002\u8bb2\u8005\u7ed9\u51fa\u4e86\u4e00\u79cd\u53c2\u6570\u5316\u4ee5\u53ca\u6a21\u62df\u6570\u636e\u5206\u5e03\u7684\u89e3\u51b3\u65b9\u6848\u3002\u8bb2\u8005\u5c06\u6570\u636e\u5206\u5e03\u505a\u4e86\u4e00\u79cd\u5206\u89e3\uff0c\u5206\u6210\u4e86\u6211\u4eec\u611f\u5174\u8da3\u90e8\u5206\u7684\u6a21\u578b\uff0c\u5df2\u6709\u7684\u5206\u5e03\u6a21\u578b\uff0c\u4ee5\u53ca\u524d\u4e24\u8005\u4e4b\u95f4\u7684\u4f9d\u8d56\u5173\u7cfb\u5206\u5e03\u3002\u800c\u4f9d\u8d56\u5173\u7cfb\u53ef\u4ee5\u5229\u7528copula\u6765\u8868\u793a\u3002\u4ece\u800c\u5229\u7528\u8fd9\u6837\u7684\u5206\u89e3\uff0c\u8bb2\u8005\u901a\u8fc7\u62d2\u7edd\u6027\u91c7\u6837\u7684\u65b9\u6cd5\u5c31\u80fd\u591f\u6a21\u62df\u51fa\u6240\u9700\u8981\u7684\u6570\u636e\u5206\u5e03\u3002<\/span><\/p>\n

Robin is an Associate Professor in Statistics, and a fellow of Jesus College. He received his PhD in Statistics from the University of Washington in 2011, and was a Postdoctoral Research Fellow at the Statistical Laboratory in Cambridge from 2011 to 2013. His research interests include graphical models, causal inference, latent variable models and algebraic and semi-parametric statistics.<\/span><\/p>\n

Personal Website: <\/span><\/section>\n
http:\/\/www.stats.ox.ac.uk\/~evans\/<\/span><\/section>\n

<\/section>\n

<\/section>\n
Semiparametric efficient estimation of structural nested mean models with irregularly spaced observations<\/span><\/strong><\/span><\/section>\n
Shu Yang(North Carolina State University)<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Shu Yang<\/span><\/section>\n

<\/span><\/section>\n

\u8bb2\u8005\u4e3b\u8981\u4ecb\u7ecd\u4e86\u7eb5\u5411\u6570\u636e\u4e2d\u53d8\u91cf\u7684\u89c2\u6d4b\u65f6\u95f4\u4e0d\u89c4\u5219\u65f6\u7684\u7edf\u8ba1\u5206\u6790\u65b9\u6cd5\u3002\u5728SNMM\u6a21\u578b\u4e2d\u4e00\u822c\u5047\u5b9a\u6240\u6709\u6570\u636e\u90fd\u662f\u5728\u56fa\u5b9a\u65f6\u95f4\u70b9\u4e0a\u6d4b\u5f97\uff0c\u7136\u800c\u8fd9\u5728\u771f\u5b9e\u4e16\u754c\u5f80\u5f80\u5e76\u4e0d\u80fd\u6ee1\u8db3\u3002\u8bb2\u8005\u5728\u65e0\u672a\u89c2\u6d4b\u6df7\u6742\u7684\u6761\u4ef6\u4e0b\uff0c\u5148\u8ba8\u8bba\u4e86\u5728\u79bb\u6563\u65f6\u95f4\u60c5\u5f62\u4e0b\u7684\u56e0\u679c\u4f5c\u7528\u4f30\u8ba1\u65b9\u6cd5\uff0c\u7136\u540e\u5229\u7528\u9785\u7b49\u5de5\u5177\u63d0\u51fa\u4e86\u8fde\u7eed\u65f6\u95f4\u60c5\u5f62\u4e0b\u7684\u4f30\u8ba1\u65b9\u6cd5\u3002\u540c\u65f6\u8be5\u65b9\u6cd5\u5177\u6709\u53cc\u7a33\u5065\u4ee5\u53ca\u5c40\u90e8\u6709\u6548\u7684\u6027\u8d28\u3002\u6b64\u5916\uff0c\u5f53\u5b58\u5728\u53ef\u5ffd\u7565\u5220\u5931\u65f6\uff0c\u8bb2\u8005\u6307\u51fa\u53ea\u7528\u5b8c\u5168\u6570\u636e\u5206\u6790\u662f\u9006\u6982\u7387\u52a0\u6743\u4f30\u8ba1\u91cf\u4e2d\u6700\u4f18\u7684\u3002<\/span><\/p>\n

Shu Yang graduated from Iowa State University in 2014 with major in Mathematics and comajor in Statistics working with J.K. Kim and Z. Zhu. After graduation, she joined Harvard TH Chan School of Public Health as a post-doc with Judith Lok. She then joined NC State as a faculty member since 2016.<\/span><\/p>\n

Personal Website: <\/span><\/section>\n
https:\/\/shuyang.wordpress.ncsu.edu\/<\/span><\/section>\n

<\/section>\n

<\/section>\n
Proximal Causal Inference<\/span><\/strong><\/span><\/section>\n
Eric J. Tchetgen(University of Pennsylvania)<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Eric J. Tchetgen<\/span><\/section>\n

<\/span><\/section>\n

\u672a\u89c2\u6d4b\u6df7\u6742\u662f\u56e0\u679c\u5206\u6790\u7684\u4e00\u4e2a\u5f88\u91cd\u8981\u7684\u95ee\u9898\uff0c\u8bb2\u8005\u4ecb\u7ecd\u4e86\u4e00\u79cd\u65b0\u7684\u80fd\u591f\u5904\u7406\u672a\u89c2\u6d4b\u6df7\u6742\u7684\u7edf\u8ba1\u63a8\u65ad\u65b9\u6cd5\u3002\u8bb2\u8005\u9996\u5148\u56de\u987e\u4e86\u53ef\u5ffd\u7565\u6027\u5047\u5b9a\u6210\u7acb\u662f\u8bc6\u522b\u56e0\u679c\u4f5c\u7528\u6240\u9700\u7684\u6761\u4ef6\u3002\u8bb2\u8005\u8ba4\u4e3a\u5f88\u591a\u65f6\u5019\uff0c\u6211\u4eec\u6d4b\u91cf\u7684\u5e76\u4e0d\u662f\u7cbe\u786e\u7684\u6df7\u6742\u53d8\u91cf\uff0c\u800c\u662f\u6df7\u6742\u53d8\u91cf\u7684\u4ee3\u7406\u3002\u6b64\u65f6\u60f3\u8981\u8bc6\u522b\u56e0\u679c\u4f5c\u7528\uff0c\u8bb2\u8005\u6307\u51fa\uff0c\u5f53\u5b58\u5728\u4e24\u4e2a\u4ee3\u7406\u53d8\u91cf\uff0c\u4e14\u5b58\u5728bridge function\u65f6\uff0c\u56e0\u679c\u4f5c\u7528\u5c31\u53ef\u4ee5\u8bc6\u522b\u3002\u8fd9\u6837\u7684\u8bc6\u522b\u6761\u4ef6\u5927\u5927\u51cf\u5f31\u4e86\u5de5\u5177\u53d8\u91cf\u8bc6\u522b\u56e0\u679c\u4f5c\u7528\u7684\u4e25\u683c\u6761\u4ef6\u3002\u540c\u65f6\u8bb2\u8005\u4e5f\u7b80\u5355\u8bb2\u89e3\u4e86\u975e\u53c2\u60c5\u5f62\u4e0b\u53ef\u4ee5\u5229\u7528minimax\u65b9\u6cd5\u6765\u4f30\u8ba1bridge function\u3002\u5f53\u5728\u7ebf\u6027\u6a21\u578b\u4e0b\uff0c\u8bb2\u8005\u7ed9\u51fa\u4e86\u7c7b\u4f3c\u4e8e\u5de5\u5177\u53d8\u91cf\u7684\u4e24\u9636\u6bb5\u6700\u5c0f\u4e8c\u4e58\u65b9\u6cd5\uff0c\u8fd9\u4f7f\u5f97\u65b0\u63d0\u51fa\u7684\u65b9\u6cd5\u5728\u5e94\u7528\u65f6\u975e\u5e38\u65b9\u4fbf\u3002<\/span><\/p>\n

Eric J. Tchetgen Tchetgen is the Luddy Family President\u2019s Distinguished Professor at the Wharton School of the University of Pennsylvania.<\/span><\/p>\n

Professor Tchetgen Tchetgen comes to the University of Pennsylvania from Harvard University, where he has served since 2008 as Professor of Biostatistics and Epidemiologic Methods with joint appointments in the departments of Biostatistics and Epidemiology at the T.H. Chan School of Public Health.<\/span><\/p>\n

He researches infectious diseases, including HIV\/AIDS, and the role of genetic and social factors in the patterns, causes, and effects of public health. Professor Tchetgen Tchetgen has received grants from the National Institutes of Health and the Centers for Disease Control.<\/span><\/p>\n

He completed his Ph.D. in Biostatistics at Harvard University in 2006 under the supervision of Professor James M. Robins. He received his B.S. in Electrical Engineering from Yale University in 1999.<\/span><\/p>\n

Personal Website:  <\/span><\/section>\n
https:\/\/statistics.wharton.upenn.edu\/profile\/ett\/#news<\/span><\/section>\n

<\/section>\n

<\/section>\n
MRCIP: a robust Mendelian randomization method accounting for correlated and idiosyncratic pleiotropy<\/span><\/strong><\/span><\/section>\n
Zhonghua Liu(University of Hong Kong)<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Zhonghua Liu<\/span><\/section>\n

<\/span><\/section>\n

\u5b5f\u5fb7\u5c14\u968f\u673a\u5316\u5728\u57fa\u56e0\u76f8\u5173\u7684\u7814\u7a76\u4e2d\u8d8a\u6765\u8d8a\u91cd\u8981\u3002\u6700\u521d\u5927\u5bb6\u4e00\u822c\u76f4\u63a5\u5c06\u57fa\u56e0\u53d8\u5f02\u5f53\u4f5c\u5de5\u5177\u53d8\u91cf\u8fdb\u884c\u5206\u6790\uff0c\u8bb2\u8005\u6307\u51fa\u5b9e\u9645\u4e0a\u8fd9\u4e9b\u57fa\u56e0\u53d8\u5f02\u5f80\u5f80\u76f8\u5173\u4e14\u4f1a\u6709\u57fa\u56e0\u591a\u6548\u6027\uff0c\u5bfc\u81f4\u5de5\u5177\u53d8\u91cf\u7684\u5047\u5b9a\u4e0d\u80fd\u6ee1\u8db3\u3002\u4e4b\u524d\u4fc4\u53c8\u4e00\u4e9b\u5904\u7406\u57fa\u56e0\u591a\u6548\u6027\u7684\u65b9\u6cd5\uff0c\u4f46\u662f\u8fd9\u4e9b\u65b9\u6cd5\u8fd8\u9700\u8981\u5176\u4ed6\u4e00\u4e9b\u5047\u5b9a\uff0c\u4f8b\u5982InSIDE\u5047\u5b9a\u7b49\u3002\u8bb2\u8005\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u63d0\u51fa\u4e86MRCIP\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u5229\u7528\u4e86\u53c2\u6570\u6a21\u578b\uff0c\u5176\u4e2d\u5305\u62ec\u968f\u673a\u6548\u5e94\u6a21\u578b\uff0c\u5e76\u5229\u7528\u4e86PRW-EM\u7b97\u6cd5\u6765\u8fdb\u884c\u4f18\u5316\u3002\u8bb2\u8005\u5229\u7528\u8be5\u65b9\u6cd5\u5206\u6790\u4e86\u51a0\u72b6\u52a8\u8109\u75be\u75c5\u6570\u636e\uff0c\u901a\u8fc7\u6570\u636e\u5206\u6790\uff0c\u8bb2\u8005\u8ba4\u4e3aInSIDE\u5047\u5b9a\u5f88\u53ef\u80fd\u4e0d\u6210\u7acb\uff0c\u4ece\u800c\u57fa\u4e8e\u8be5\u5047\u5b9a\u7684\u65b9\u6cd5\u5f88\u53ef\u80fd\u5f97\u5230\u6709\u504f\u4f30\u8ba1\u3002<\/span><\/p>\n

Dr. Liu received his doctorate in biostatistics from Harvard University, advised by Prof. Xihong Lin. He worked on the Wall street as a quantitative strategist in NYC before joining HKU. His current research interests are: Statistical inference for massive data, Big Data Analytics, Causal Mediation Analysis, Machine Learning, Signal Detection, Statistical Genetics and Genomics.<\/span><\/p>\n

Personal Website: <\/span><\/section>\n
https:\/\/www.scifac.hku.hk\/people\/liu-zhonghua<\/span><\/section>\n

<\/span><\/section>\n

<\/span><\/section>\n
Model-assisted analyses of cluster-randomized experiments<\/span><\/strong><\/span><\/section>\n
Peng Ding(University of California, Berkeley)<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Peng Ding<\/span><\/section>\n

<\/span><\/section>\n

\u8bb2\u8005\u9996\u5148\u4ecb\u7ecd\u4e86\u5728\u5b9e\u9a8c\u8bbe\u8ba1\u4e2d\u5e94\u7528\u5f88\u5e7f\u7684\u7fa4\u4f53\u968f\u673a\u8bd5\u9a8c\uff0c\u5e76\u56de\u987e\u4e86\u4e4b\u524d\u5904\u7406\u8fd9\u79cd\u5b9e\u9a8c\u6570\u636e\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u5e7f\u4e49\u4f30\u8ba1\u65b9\u7a0b\uff0c\u6df7\u5408\u6548\u5e94\u6a21\u578b\uff0c\u591a\u5c42\u6b21\u6a21\u578b\u7b49\u3002\u7136\u800c\u8fd9\u4e9b\u6a21\u578b\u5f80\u5f80\u662f\u5047\u5b9a\u6a21\u578b\u6307\u5b9a\u6b63\u786e\u65f6\uff0c\u4f30\u8ba1\u51fa\u7684\u53c2\u6570\u624d\u5177\u6709\u56e0\u679c\u542b\u4e49\uff0c\u5f53\u6a21\u578b\u9519\u8bef\u8bbe\u5b9a\u65f6\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u5c31\u5931\u6548\u4e86\u3002\u8bb2\u8005\u63d0\u51fa\u4e86\u65b0\u7684\u4f30\u8ba1\u65b9\u6cd5\u3002\u5728\u5206\u6790\u4e2d\uff0c\u8bb2\u8005\u4f7f\u7528\u6709\u9650\u6837\u672c\u7684\u6846\u67b6\uff0c\u53ea\u6709\u5904\u7406\u7684\u5206\u914d\u662f\u968f\u673a\u5316\u7684\u3002\u8bb2\u8005\u53d1\u73b0\u7528\u6240\u6709\u7684\u4e2a\u4f53\u6570\u636e\u505a\u56de\u5f52\u7684\u5f97\u5230\u7684\u4f30\u8ba1\u91cf\u53cd\u800c\u6bd4\u5229\u7528\u6bcf\u4e2a\u7ec4\u5185\u53d8\u91cf\u7684\u5e73\u5747\u505a\u56de\u5f52\u7684\u6e10\u8fd1\u65b9\u5dee\u66f4\u5927\u3002<\/span><\/p>\n

Peng Ding is currently an assistant professor in the Department of Statistics at the University of California, Berkeley. From 2004 to 2011, he received a bachelor’s degree in mathematics and economics and a master’s degree in statistics from Peking University. He received a Ph.D. in statistics from Harvard University in 2011-2015, and then did postdoctoral research in the Department of Epidemiology at Harvard School of Public Health.<\/span><\/p>\n

Personal Website: <\/span><\/section>\n
https:\/\/statistics.berkeley.edu\/people\/peng-ding<\/span><\/section>\n

<\/section>\n

<\/section>\n
An omitted variable bias framework for sensitivity analysis of instrumental variables<\/span><\/strong><\/span><\/section>\n
Carlos Cinelli<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Carlos Cinelli<\/span><\/section>\n

<\/span><\/section>\n

\u8bb2\u8005\u9996\u5148\u56de\u987e\u4e86\u7ecf\u5178\u7684\u4e24\u9636\u6bb5\u6700\u5c0f\u4e8c\u4e58\u65b9\u6cd5\u4ee5\u53caAnderson-Rubin\u4f30\u8ba1\u65b9\u6cd5\u3002\u4f46\u662f\u5728\u89c2\u5bdf\u6027\u7814\u7a76\u4e2d\uff0c\u53ef\u80fd\u8fd8\u4f1a\u5b58\u5728\u672a\u89c2\u6d4b\u7684\u534f\u53d8\u91cf\uff0c\u8bb2\u8005\u5173\u5fc3\u7684\u662f\u5f53\u5c06\u672a\u89c2\u6d4b\u7684\u534f\u53d8\u91cf\u52a0\u5165\u56de\u5f52\u6a21\u578b\u65f6\uff0c\u4f1a\u5bf9\u7edf\u8ba1\u63a8\u65ad\u9020\u6210\u4ec0\u4e48\u5f71\u54cd\u3002\u8bb2\u8005\u5bf9\u4e8e\u8fd9\u4e2a\u95ee\u9898\u8fdb\u884c\u4e86\u654f\u611f\u6027\u5206\u6790\u3002\u8bb2\u8005\u6307\u51fa\u5982\u679c\u672a\u89c2\u5bdf\u5230\u7684\u534f\u53d8\u91cf\u80fd\u591f\u4f7f\u5f97\u7b2c\u4e00\u9636\u6bb5\u7684\u56de\u5f52\u7cfb\u6570\u6539\u53d8\u7b26\u53f7\uff0c\u90a3\u4e48\u8be5\u672a\u89c2\u6d4b\u7684\u534f\u53d8\u91cf\u5c06\u53ef\u4ee5\u4f7f\u5f97\u6700\u7ec8\u5f97\u5230\u7684\u56e0\u679c\u4f5c\u7528\u53ef\u6b63\u53ef\u8d1f\uff0c\u65e2\u4e0d\u5305\u542b\u8be5\u534f\u53d8\u91cf\u7684\u56de\u5f52\u5e76\u4e0d\u80fd\u5f97\u5230\u6709\u7528\u7684\u7ed3\u8bba\u3002\u7136\u540e\u8bb2\u8005\u4e5f\u4ecb\u7ecd\u4e86\u6700\u5dee\u60c5\u51b5\u4e0b\u7684\u7f6e\u4fe1\u533a\u95f4\u7684\u6784\u9020\u65b9\u6cd5\uff0c\u5e76\u89e3\u91ca\u4e86\u5b9e\u9645\u6570\u636e\u7684\u5206\u6790\u7ed3\u679c\u3002<\/span><\/p>\n

Carlos is a PhD candidate in the Department of Statistics at the University of California, Los Angeles (2016-2021). Starting this Fall 2021, He is joining the Department of Statistics at the University of Washington as an Assistant Professor.His research focuses on developing new causal and statistical methods for transparent and robust causal claims in empirical sciences.<\/span><\/p>\n

Personal Website:  <\/span><\/section>\n
https:\/\/carloscinelli.com\/index.html<\/span><\/section>\n

<\/span><\/section>\n

<\/span><\/section>\n
A simple cure for bias from weak instruments and horizontal pleiotropy in Mendelian randomization<\/span><\/strong><\/span><\/section>\n
Ting Ye(University of Washington )<\/span><\/section>\n

<\/span><\/section>\n

<\/p>\n

Ting Ye<\/span>
<\/section>\n

<\/span><\/section>\n

\u8bb2\u8005\u7814\u7a76\u4e86\u5b5f\u5fb7\u5c14\u968f\u673a\u5316\u4e2d\u7684\u5f31\u5de5\u5177\u53d8\u91cf\u7684\u95ee\u9898\uff0c\u5373\u5de5\u5177\u53d8\u91cf\u5f80\u5f80\u4e0e\u5904\u7406\u76f8\u5173\u6027\u5f88\u5c0f\u3002\u6b64\u65f6\u8bb2\u8005\u8bc1\u660e\u4e86\u5728\u4e00\u4e9b\u60c5\u51b5\u4e0b\uff0c\u9006\u6982\u7387\u52a0\u6743\u65b9\u6cd5\u4f1a\u5f97\u5230\u6709\u504f\u7684\u4f30\u8ba1\uff0c\u8fd9\u4e5f\u5728\u4e00\u4e9b\u5b9e\u9645\u5e94\u7528\u4e2d\u5f97\u5230\u4e86\u9a8c\u8bc1\u3002\u4e0e\u6b64\u540c\u65f6\u5f88\u591a\u65f6\u5019\u5b5f\u5fb7\u5c14\u968f\u673a\u5316\u4e2d\u7684\u5de5\u5177\u53d8\u91cf\u4f1a\u76f4\u63a5\u5f71\u54cd\u7ed3\u5c40\u53d8\u91cf\u3002\u8bb2\u8005\u63d0\u51fa\u4e86\u7ea0\u504f\u9006\u6982\u7387\u52a0\u6743\u4f30\u8ba1\u91cf\uff0c\u5e76\u8bc1\u660e\u4e86\u8be5\u4f30\u8ba1\u91cf\u7684\u65e0\u504f\u6027\u548c\u6e10\u8fd1\u6b63\u6001\u6027\u3002\u6700\u540e\u8bb2\u8005\u5c06\u8be5\u65b9\u6cd5\u5e94\u7528\u5230\u4e86BMI-CAD\u6570\u636e\u96c6\u4e0a\uff0c\u540c\u65f6\u8bb2\u8005\u4e5f\u5efa\u8bae\u7ea0\u504f\u9006\u6982\u7387\u52a0\u6743\u65b9\u6cd5\u53ef\u4ee5\u4f5c\u4e3a\u590d\u6742\u6570\u636e\u5206\u6790\u7684\u4e00\u4e2a\u521d\u6b65\u5206\u6790\uff0c\u80fd\u591f\u63d0\u4f9b\u4e00\u4e2a\u7b80\u5355\u7684\u521d\u59cb\u7ed3\u8bba\u3002<\/span><\/p>\n

Ting Ye is an Assistant Professor of Biostatistics at the University of Washington. Before joining UW, she was a postdoctoral fellow in the Statistics Department of the Wharton School, University of Pennsylvania (mentored by Dylan Small and Sean Hennessy).<\/span><\/p>\n

Personal Website: <\/span><\/section>\n
https:\/\/sites.google.com\/view\/tingye<\/span><\/section>\n

<\/section>\n

<\/section>\n
Assumption-Lean Inference for Cox Regression Parameters<\/span><\/strong><\/span><\/section>\n
Stijn Vansteelandt(Ghent University (Belgium) and London School of Hygiene & Tropical Medicine )<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Stijn Vansteelandt<\/span><\/section>\n

<\/span><\/section>\n

\u6bd4\u4f8b\u98ce\u9669\uff08hazard ratio\uff09\u662f\u6d41\u884c\u75c5\u548c\u836f\u5b66\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u6982\u5ff5\uff0c\u5c3d\u7ba1\u7f3a\u4e4f\u660e\u786e\u7684\u56e0\u679c\u89e3\u91ca\uff0c\u6bd4\u4f8b\u98ce\u9669\u6a21\u578b\u4ecd\u7136\u662f\u6709\u7528\u800c\u5408\u7406\u7684\u8fd1\u4f3c\u3002\u95ee\u9898\u662f\uff0c\u5371\u9669\u7387\u4e0d\u4e00\u5b9a\u662f\u6bd4\u4f8b\u7684\uff0c\u6216\u8005\u534f\u53d8\u91cf\u5efa\u6a21\u53ef\u80fd\u6709\u8bef\u3002\u5f53\u6a21\u578b\u8bbe\u5b9a\u9519\u8bef\uff0c\u90e8\u5206\u4f3c\u7136\u4f30\u8ba1\u6536\u655b\u5230\u54ea\u91cc\u662f\u4e0d\u786e\u5b9a\u7684\u3002\u53ef\u4ee5\u628aCox\u6a21\u578b\u53d8\u590d\u6742\uff0c\u4f46\u8fd9\u4f1a\u5bfc\u81f4\u7b80\u5355\u6027\u548c\u6b63\u786e\u6027\u7684\u53d6\u820d\u3002\u90a3\u4e48\u8be5\u600e\u4e48\u529e\u5462\uff1f\u4f5c\u8005\u8ba4\u4e3a\uff0c\u5e94\u8be5\u4ee5\u4e00\u4e2a\u975e\u53c2\u6570\u7684\u5f85\u4f30\u91cf\u4e3a\u76ee\u6807\uff0c\u800c\u4e0d\u662f\u4ee5\u6a21\u578b\u4e3a\u76ee\u6807\uff0c\u4ece\u800c\u53d1\u5c55\u57fa\u4e8e\u6709\u6548\u5f71\u54cd\u51fd\u6570\u7684\u975e\u53c2\u6570\u63a8\u65ad\uff0c\u63a8\u65ad\u4e0d\u4f9d\u8d56\u4e8e\u6a21\u578b\u662f\u5426\u6b63\u786e\u3002<\/span><\/p>\n

\u5047\u8bbe\u5e0c\u671b\u4f7f\u7528Cox\u6bd4\u4f8b\u98ce\u9669\u6a21\u578b\uff0c\u7136\u540e\u603b\u7ed3\u7ed9\u5b9a\u67d0\u4e2a\u534f\u53d8\u91cf\u65f6\u66b4\u9732\u53d8\u91cf\u5bf9\u4e8b\u4ef6\u53d1\u751f\u65f6\u95f4\u7ed3\u5c40\u7684\u5173\u8054\u6027\u3002\u5bf9\u4e8e\u4e8c\u5143\u66b4\u9732\u53d8\u91cf\uff0c\u53ef\u4ee5\u7528\u5bf9\u6570\u98ce\u9669\u7387\u6765\u603b\u7ed3\u3002\u4f5c\u8005\u8003\u8651\u4e86\u98ce\u9669\u7387\u968f\u534f\u53d8\u91cf\u6216\u65f6\u95f4\u53d8\u5316\u7684\u60c5\u5f62\uff0c\u7528\u52a0\u6743\u5e73\u5747\u6765\u603b\u7ed3\u3002\u8fd9\u6837\u5c31\u63d0\u51fa\u4e86\u4e00\u4e2a\u4e0e\u6a21\u578b\u65e0\u5173\u7684\u5f85\u4f30\u91cf\uff0c\u53ef\u4ee5\u7528\u63d2\u5165\u4f30\u8ba1\u91cf\u6216\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u6765\u4f30\u8ba1\u3002\u901a\u8fc7\u8ba1\u7b97\u5f71\u54cd\u51fd\u6570\uff0c\u53ef\u7528\u6570\u7406\u7edf\u8ba1\u7684\u6e10\u8fdb\u7406\u8bba\u6d88\u9664\u63d2\u5165\u504f\u5dee\u3002\u6700\u540e\uff0c\u4f5c\u8005\u7528\u6a21\u62df\u5b9e\u9a8c\u6bd4\u8f83\u4e86\u4e00\u4e9b\u65b9\u6cd5\u3002<\/span><\/p>\n

Stijn Vansteelandt graduated as Master in Mathematics at Ghent University in 1998, and obtained a PhD in Mathematics (Statistics) in 2002 at the same university. After postdoctoral research at the Department of Biostatistics of the Harvard School of Public Health, he returned to Ghent University in 2004, where he is now Full Professor (80%) in the Department of Applied Mathematics, Computer Science and Statistics. He is furthermore Professor of Statistical Methodology (20%) in the Department of Medical Statistics at the London School of Hygiene and Tropical Medicine.<\/span><\/p>\n

Personal Website:  <\/span><\/section>\n
https:\/\/users.ugent.be\/~svsteela\/Site\/Welcome.html<\/span><\/section>\n

<\/section>\n

<\/section>\n
Estimating causal effects on multi-state outcomes – an application to return to work after sick leave using Norwegian registry data<\/span><\/strong><\/span><\/section>\n
Jon Michael Gran(University of Oslo)<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Jon Michael Gran<\/span><\/section>\n

<\/span><\/section>\n

\u4f5c\u8005\u628a\u4f20\u7edf\u7684\u4e8b\u4ef6\u53d1\u751f\u65f6\u95f4\u6570\u636e\u63a8\u5e7f\u5230\u591a\u72b6\u6001\u6570\u636e\u4e0a\uff0c\u611f\u5174\u8da3\u7684\u662f\u57fa\u7ebf\u5904\u7406\u5bf9\u591a\u72b6\u6001\u7ed3\u5c40\uff08\u8fc7\u7a0b\uff09\u7684\u4f5c\u7528\u3002\u7279\u522b\u5730\uff0c\u5c06\u8be5\u65b9\u6cd5\u5e94\u7528\u4e8e\u632a\u5a01\u7684\u4e00\u9879\u65e8\u5728\u589e\u52a0\u5c31\u4e1a\u548c\u590d\u4e1a\u7684\u653f\u5e9c\u9879\u76ee\u3002\u4f5c\u8005\u8003\u8651\u4e866\u4e2a\u72b6\u6001\uff0c\u5305\u62ec\u5c31\u4e1a\u3001\u6559\u80b2\u3001\u5168\u65f6\u751f\u75c5\u3001\u90e8\u5206\u65f6\u95f4\u751f\u75c5\u3001\u5931\u4e1a\u548c\u6b7b\u4ea1\uff0c\u7ed9\u51fa\u4e86\u8f6c\u79fb\u56fe\u3002\u6574\u4e2a\u8fc7\u7a0b\u53ef\u4ee5\u88ab\u770b\u4f5c\u662f\u4e00\u4e2a\u968f\u673a\u8fc7\u7a0b\uff0c\u5185\u542b\u968f\u65f6\u95f4\u53d8\u5316\u7684\u8f6c\u79fb\u5bc6\u5ea6\u3002\u72b6\u6001\u4e4b\u95f4\u7684\u4e2a\u4f53\u7684\u5206\u5e03\u53ef\u4ee5\u7528\u5360\u7528\u6982\u7387\u63cf\u8ff0\uff0c\u6211\u4eec\u60f3\u8981\u4f30\u8ba1\u57fa\u7ebf\u5904\u7406\u5bf9\u5e94\u7684\u53cd\u4e8b\u5b9e\u5360\u7528\u6982\u7387\uff0c\u5e73\u5747\u56e0\u679c\u4f5c\u7528\u6216\u5176\u4ed6\u611f\u5174\u8da3\u7684\u91cf\u53ef\u901a\u8fc7\u53cd\u4e8b\u5b9e\u771f\u7528\u6982\u7387\u5b9a\u4e49\u3002\u5360\u7528\u6982\u7387\u901a\u8fc7Aalen-Johansen\u4f30\u8ba1\u91cf\u4f30\u8ba1\u3002\u5982\u679c\u6709\u534f\u53d8\u91cf\uff0c\u7528\u9006\u6982\u7387\u52a0\u6743\uff08\u503e\u5411\u5f97\u5206\uff09\u6765\u5e73\u5747\u662f\u5f88\u5bb9\u6613\u7684\u3002\u6700\u540e\uff0c\u4f5c\u8005\u7528\u5305\u542b45\u4e07\u6b21\u8f6c\u79fb\u7684\u5b9e\u9645\u6570\u636e\u8bf4\u660e\u4e86\u8be5\u65b9\u6cd5\uff0c\u5e76\u6307\u51fa\u4e86\u51e0\u4e2a\u503c\u5f97\u672a\u6765\u8fdb\u4e00\u6b65\u7814\u7a76\u7684\u5730\u65b9\u3002<\/span><\/p>\n

Jon Michael Gran is an associate professor at the department of biostatistics of University of Oslo. His current projects are Causal and statistical models for patient outcomes after traumatic injury, and Effects of workplace initiatives on sick leave and work participation – new statistical and causal models to utilise population registries.<\/span><\/p>\n

Personal Website: <\/span><\/section>\n
https:\/\/www.med.uio.no\/imb\/english\/people\/aca\/jonmic\/<\/span><\/section>\n

<\/section>\n

<\/section>\n
Causal inference when treatment resources are limited<\/span><\/strong><\/span><\/section>\n
Mats J. Stensrud(University of Geneva)<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Mats J. Stensrud<\/span><\/section>\n

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\u5728\u5f88\u591a\u5b9e\u9645\u573a\u666f\u4e2d\uff0c\u8d44\u6e90\u4e8b\u6709\u9650\u7684\uff0c\u4f8b\u5982\u75ab\u82d7\u3001\u5668\u5b98\u7b49\u7b49\uff0c\u8d44\u6e90\u6709\u9650\u7684\u60c5\u51b5\u4e0b\u8fdb\u884c\u56e0\u679c\u63a8\u65ad\u662f\u6709\u6311\u6218\u6027\u7684\uff0c\u4f8b\u5982\u75c5\u4eba\u4e4b\u95f4\u6709\u56e0\u679c\u8054\u7cfb\uff08\u4ea7\u751f\u4e86\u975e\u72ec\u7acb\u540c\u5206\u5e03\u6837\u672c\uff09\u3001\u53cd\u4e8b\u5b9e\u7b56\u7565\u4f9d\u8d56\u4e8e\u5168\u4f53\u75c5\u4eba\u7684\u7279\u5f81\u3002\u8003\u8651n\u4e2a\u56e0\u679c\u5173\u8054\u7684\u4e2a\u4f53\uff0c\u53ea\u6709\u524dN\u4e2a\u4e2a\u4f53\u7684\u6570\u636e\uff0c\u89c2\u6d4b\u7684\u4fe1\u606f\u5305\u62ec\u4e34\u5e8a\u7279\u5f81\u3001\u5904\u7406\u3001\u751f\u5b58\u7ed3\u5c40\u3002\u4e00\u822c\u7684\u52a8\u6001\u6cbb\u7597\u7b56\u7565\u88ab\u5b9a\u4e49\u4e3a\u4ece\u60a3\u8005\u7684\u7279\u5f81\u5230\u5904\u7406\u7684\u6620\u5c04\uff0c\u4f5c\u8005\u91c7\u7528\u7684\u65b9\u6cd5\u7eb3\u5165\u4e86\u5168\u90e8\u60a3\u8005\u7684\u7279\u5f81\uff0c\u611f\u5174\u8da3\u7684\u95ee\u9898\u662f\u8bc6\u522b\u5728\u6cbb\u7597\u7b56\u7565g\u4e0bn\u4e2a\u57fa\u7ebf\u4e2a\u4f53\u7684\u5e73\u5747\u751f\u5b58\u7387\uff0c\u79f0\u4e3ag\u4e0b\u7684\u805a\u7c7b\u5e73\u5747\u6f5c\u5728\u7ed3\u679c\u3002<\/span><\/p>\n

\u5bf9\u4e8e\u4e00\u4e2a\u7edf\u8ba1\u6a21\u578b\uff0c\u5305\u542b\u4e00\u4e2a\u6761\u4ef6\u96c6A\uff0c\u4f7f\u5f97\u7ed3\u6784\u65b9\u7a0b\u7684\u6b63\u5219\u6761\u4ef6\u6210\u7acb\uff0c\u8fd9\u4ea7\u751f\u7ed9\u5b9a\u8fc7\u53bb\u6d4b\u91cf\u540e\u72ec\u7acb\u540c\u5206\u5e03\u7684\u7ed3\u5c40\u4ee5\u53ca\u8363\u8a89\u53c2\u6570\u7684\u76f8\u5408\u4f30\u8ba1\uff1b\u4ee5\u53ca\u4e00\u4e2a\u6761\u4ef6\u96c6B\uff0c\u6ee1\u8db3\u6b63\u6027\u3001\u53ef\u4ea4\u6362\u6027\u3001\u4e00\u81f4\u6027\uff0c\u7528\u4e8e\u53cd\u4e8b\u5b9e\u8bc6\u522b\u3002<\/span><\/p>\n

Mats is a tenure-track assistant professor of statistics<\/span> at the Department of Mathematics, EPFL. His research focuses on methods for causal inference. He is particularly interested in settings with exposures and outcomes that depend on time, that is, longitudinal data. Many of his works are inspired by applications in (bio)medicine.<\/span><\/p>\n

Before he came to EPFL, he was privileged to work with Miguel Hern\u00e1n and other excellent researchers at Harvard School of Public Health as a Kolokotrones research fellow and Fulbright Research Scholar. He also had the pleasure of being a part-time postdoctoral researcher under supervision of Kjetil R\u00f8yslandand Odd Aalen at the University of Oslo. Before he became a full time academic, he had a short career as resident doctor in internal medicine.<\/span><\/p>\n

Mats received his MD, Dr.Philos in Neuroscience and BSc in Mathematics from the University of Oslo. He also hold a Msc in Statistics from the University of Oxford.<\/span><\/p>\n

Personal Website: <\/span><\/section>\n
https:\/\/www.med.uio.no\/imb\/english\/people\/aca\/matsjst\/index.html<\/span><\/section>\n

<\/section>\n

<\/section>\n
Experimental Evaluation of Machine Learning Algorithms for Causal Inference<\/span><\/strong><\/span><\/section>\n
Kosuke Imai(Harvard University)<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
Kosuke Imai<\/span><\/section>\n

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\u5df2\u6709\u65b9\u6cd5\u5728\u8bd5\u9a8c\u6027\u7814\u7a76\u4e2d\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u4f30\u8ba1\u5f02\u8d28\u6027\u6cbb\u7597\u6548\u5e94\u3001\u6784\u9020\u4e2a\u6027\u5316\u6cbb\u7597\u89c4\u5219\u3002\u4f46\u5728\u5b9e\u9645\u4e2d\uff0c\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7ba1\u7528\u5417\uff1f\u6211\u4eec\u5e94\u5f53\u7ecf\u9a8c\u5730\u8bc4\u4f30\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7684\u8868\u73b0\uff0c\u4ece\u800c\u907f\u514d\u5047\u8bbe\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7684\u597d\u6027\u8d28\u3001\u7cbe\u786e\u91cf\u5316\u4e0d\u786e\u5b9a\u6027\uff0c\u5e76\u4f7f\u6837\u672c\u91cf\u5c0f\u7684\u65f6\u5019\u4e5f\u9002\u7528\u3002\u6211\u4eec\u5e0c\u671b\u7528\u4e00\u4e2a\u968f\u673a\u5316\u8bd5\u9a8c\u6765\u8bc4\u4f30\u4e00\u822c\u7684\u4e2a\u6027\u5316\u6cbb\u7597\u7b56\u7565\u3002\u5728Neyman\u63a8\u65ad\u7684\u6846\u67b6\u4e0b\uff0c\u9488\u5bf9\u5e73\u5747\u56e0\u679c\u4f5c\u7528\u7684\u5ea6\u91cf\uff0c\u53ef\u4ee5\u8bc4\u4f30\u504f\u5dee\u548c\u65b9\u5dee\uff0c\u4e00\u4e2a\u597d\u7684\u4e2a\u6027\u5316\u6cbb\u7597\u7b56\u7565\u5e94\u5f53\u6bd4\u968f\u673a\u5206\u914d\u66f4\u597d\u3002\u4f5c\u8005\u4ecb\u7ecd\u4e86\u901a\u8fc7\u4ea4\u53c9\u62df\u5408\u4f30\u8ba1\u548c\u8bc4\u4f30\u4e2a\u6027\u5316\u6cbb\u7597\u7b56\u7565\uff08\u96be\u70b9\u662f\u540c\u65f6\u8003\u8651\u4f30\u8ba1\u7684\u4e0d\u786e\u5b9a\u6027\u548c\u8bc4\u4f30\u7684\u4e0d\u786e\u5b9a\u6027\uff09\uff0c\u4ee5\u53ca\u9884\u7b97\u7ea6\u675f\u4e0b\u7684\u8bc4\u4f30\u3002\u6700\u540e\uff0c\u4f5c\u8005\u4ecb\u7ecd\u4e86\u6a21\u62df\u5b9e\u9a8c\u548c\u771f\u5b9e\u6570\u636e\u5206\u6790\u7ed3\u679c\uff0c\u5e76\u6307\u51fa\u4e86\u53ef\u4ee5\u671f\u5f85\u7684\u6269\u5c55\uff0c\u5982\u6269\u5c55\u5230\u5f02\u8d28\u6027\u56e0\u679c\u4f5c\u7528\u3002<\/span><\/p>\n

Kosuke Imai is a professor in the Department of Government and the Department of Statistics at Harvard University. He is also an affiliate of the Institute for Quantitative Social Science. Before moving to Harvard in 2018, Imai taught at Princeton University for 15 years where he was the founding director of the Program in Statistics and Machine Learning. In addition, Imai served as the President of the Society for Political Methodology from 2017 to 2019 and was elected fellow in 2017. He has been Professor of Visiting Status in the Faculty of Law and Graduate Schools of Law and Politics at the University of Tokyo.<\/span><\/p>\n

Personal Website: <\/span><\/section>\n
https:\/\/rijs.fas.harvard.edu\/kosuke-imai<\/span><\/section>\n
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2021\u6cdb\u592a\u5e73\u6d0b\u56e0\u679c\u63a8\u65ad\u5927\u4f1a\u5706\u6ee1\u6210\u529f\uff0c\u4e5f\u6536\u83b7\u4e86\u9887\u591a\u8d5e\u8a89\uff0c\u671f\u5f85\u5927\u5bb6\u5728\u6500\u767b\u56e0\u679c\u9636\u68af\u7684\u8def\u9014\u4e2d\u8fce\u96be\u800c\u4e0a\uff0c\u518d\u63a5\u518d\u5389\uff0c\u671f\u5f85\u70ed\u7231\u56e0\u679c\u79d1\u5b66\u7684\u4f60\u52a0\u5165\uff01\u5173\u6ce8\u96c6\u667a\u4ff1\u4e50\u90e8\uff0c\u8ba9\u6211\u4eec\u76f8\u7ea62022\uff01<\/span><\/section>\n

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