專題演講 主講人：戴齊賢博士 (St. Jude Children’s Research Hospital)
題 目：Novel Methods for Utilizing External Information
主講人：戴齊賢博士 (St. Jude Children’s Research Hospital)
時 間：113年10月25日(星期五)上午10:40-11:30
(上午10:20-10:40茶會於綜合一館428室舉行)
地 點：綜合一館427室
使用Google Meet線上直播，
演講開始前20分鐘可進入會議，請點選下列連結後按下「加入」即可https://meet.google.com/pie-jmyd-cra
摘要
With advancements in data collection and storage technology, data analysis in modern scientific research and practice has shifted from analyzing single data sets to coupling several data sets. Incorporating external data sources introduces significant challenges due to data quality and compatibility variations. These challenges are in three key areas:
1. Incomplete or partial covariate information
2. Summary-level data
3. Heterogeneity across data sets
Effectively and safely utilizing external information is crucial for enhancing the robustness and accuracy of scientific analyses.In this talk, I will present two novel methodologies designed to address these integration challenges for different purposes. First, I will introduce an innovative approach that leverages external information as constraints within kernel regression models, enhancing predictive performance even when dealing with partial covariates, summary-level data, and heterogeneity. Second, I will discuss strategies for safely integrating external control data to improve the estimation of average treatment effects, carefully accounting for heterogeneity to ensure valid and reliable inferences. These methodologies offer robust solutions for data integration challenges across various scientific domains.2. Summary-level data
3. Heterogeneity across data sets