講者介紹 : 清華大學 生命科學暨醫學院 施銘杰 助理教授
演講摘要 : The causal inference framework has risen to be a widely accepted framework for evidence generation in the field of epidemiology and public health. Under the framework, response surface modeling (i.e., outcome regression) and propensity score methods are two mainstay approaches to causal effect estimation. However, the assumptions underpinning the validity of these two approaches are often overlooked. In this talk, we will give a brief overview to both approaches, how they can be combined into doubly robustness estimators aiming for robustness to model misspecification and slow convergence rates. We will also discuss the large-sample and finite-sample properties of these estimators and provide suggestions for how to choose between them in practical analysis.
日期 : 2024年3月18日（一）
時間 : 中午12點入場, 中午12：20-13：20 演講
地點 : 公共衛生學院1樓拱北講堂（臺北市中正區徐州路17號）
報名 : 請於3/12（二）中午12：00前完成報名，人數上限40人，額滿截止，報名成功者另行通知。
主辦 : 國立臺灣大學健康資料研究中心
- 活動免費入場，但需事先報名。
- 報名者備有簡易輕食，並請攜帶水杯。
- 聯絡人：周佩萱 Tel:(02)3366-8688、E-mail:ntuhdrc@ntu.edu.tw
