Short course materials at the 2023 ASA BIOP workshop
Ting Ye, Yanyao Yi, Jun Shao, Marlena S. Bannick. Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials (Sept 2023)
Linear adjustment
Ting Ye, Jun Shao, Yanyao Yi, Qingyuan Zhao (2022+). Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials. Journal of the American Statistical Association. [Slides]
Katarzyna Reluga, Ting Ye, Qingyuan Zhao. A Unified Analysis of Regression Adjustment in Randomized Experiments.
Yilin Song, James P. Hughes, Ting Ye. Adjusting for Incomplete Baseline Covariates in Randomized Controlled Trials: A Cross-World Imputation Framework.
Ting Ye, Yanyao Yi, Jun Shao (2020). Inference on Average Treatment Effect under Minimization and Other Covariate-Adaptive Randomization Methods. Biometrika.
Nonlinear adjustment
Marlena S. Bannick, Jun Shao, Jingyi Liu, Yu Du, Yanyao Yi, Ting Ye. A General Form of Covariate Adjustment in Randomized Clinical Trials.
Ting Ye, Marlena Bannick, Yanyao Yi, Jun Shao (2023). Robust Variance Estimation for Covariate-Adjusted Unconditional Treatment Effect in Randomized Clinical Trials with Binary Outcomes. Statistical Theory and Related Fields.
Survival outcomes
Ting Ye and Jun Shao (2020). Robust Tests for Treatment Effect in Survival Analysis under Covariate-Adaptive Randomization. Journal of the Royal Statistical Society: Series B. [Slides]
Ting Ye, Jun Shao, Yanyao Yi (2023+). Covariate-Adjusted Log-Rank Test: Guaranteed Efficiency Gain and Universal Applicability. Biometrika. [Slides, Video]
Miscellaneous
Marlena S. Bannick, Faith Bian, Yanyao Yi, Ting Ye. RobinCar: Robust Covariate Adjustment for Continuous, Discrete, and Time-to-Event Outcomes in Randomized Clinical Trials. In preparation.
Jun Shao, Ting Ye, Qingyuan Zhao (2021). Comment on FDA draft guidance for industry FDA-2019-D-0934: adjusting for covariates in randomized clinical trials for drugs and biological products.
