Covariate Adjustment in Randomized Trials: Recent Development in Theory, Method and Software

Fan Li Co-Author
Duke University
 
Peng Ding Co-Author
University of California-Berkeley
 
Anqi Zhao Co-Author
Duke University
 
Peng Ding Speaker
University of California-Berkeley
 
Monday, Aug 5: 2:05 PM - 2:25 PM
Invited Paper Session 
Oregon Convention Center 
Covariate adjustment can improve precision in analyzing randomized clinical trials. In May 2023, FDA issued a final guidance for industry for covariate adjustment in randomized trials for drugs and biological products. However, there are still many challenges and open questions in implementing covariate adjustment in practice, e.g. missing data, stratified experiment, cluster randomized trials, and lack of software. In this talk, we review several important recent advancements in the theory, methods, and software that address these barriers.