【预告】北京大学公共卫生学院生物统计系列讲座
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此次报告由北京大学公共卫生学院生物统计系主办，于2020年10月28日9:00开始，授权蔻享学术进行网络直播。
主题：Test-based integrative analysis of randomized trial and real-world data for treatment heterogeneity estimation
主讲人：Shu Yang
单位：North Carolina State University
主办方：北京大学公共卫生学院生物统计系
报告摘要
Parallel randomized clinical trial (RCT) and real-world data (RWD) are becoming increasingly available for treatment evaluation. Given the complementary features of the RCT and RWD, we propose a test-based integrative analysis of the RCT and RWD for accurate and robust estimation of the heterogeneity of treatment effect (HTE), which lies at the heart of precision medicine. When the RWD are not subject to bias, e.g., due to unmeasured confounding, our approach combines the RCT and RWD for optimal estimation by exploiting semiparametric efficiency theory. Utilizing the design advantage of RTs, we construct a built-in test procedure to gauge the reliability of the RWD and decide whether or not to use RWD in an integrative analysis. We characterize the asymptotic distribution of the test-based integrative estimator under local alternatives, which provides a better approximation of the finite-sample behaviors of the test and estimator when the idealistic assumption required for the RWD is weakly violated. We provide a data-adaptive procedure to select the threshold of the test statistic that promises the smallest mean square error of the proposed estimator of the HTE. Lastly, we construct an adaptive confidence interval that has a good finite-sample coverage property. We apply the proposed method to characterize who can benefit from adjuvant chemotherapy in patients with stage IB non-small cell lung cancer.
主讲人介绍
Shu Yang is an assistant professor of Statistics at NC State University. She received her Ph.D. in Applied Mathematics and Statistics from Iowa State University and postdoctoral training at Harvard T.H. Chan School of Public Health. Her primary research interest is causal inference and data integration, particularly with applications to comparative effectiveness research in health studies. She also works extensively on methods for missing data, survey methodology, and spatial statistics. She has been Principal Investigator for the U.S. National Science Foundation and the National Institute of Health research projects.
编辑：苏苗苗
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