Covariate Adjustment in Randomized Trials  -- R package 📦: RobinCar [CRAN, GitHub]

• ASA-BIOP covariate adjustment working group: https://carswg.github.io

• Short course materials at the 2023 ASA BIOP workshop

  1. Ting Ye, Yanyao Yi, Jun Shao, Marlena S. Bannick. Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials (Sept 2023)

• Linear adjustment

  1. Ting Ye, Jun Shao, Yanyao Yi, Qingyuan Zhao (2024). Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials. Journal of the American Statistical Association. [Slides]

  2. Katarzyna Reluga, Ting Ye, Qingyuan Zhao (2024). A Unified Analysis of Regression Adjustment in Randomized Experiments. Electronic Journal of Statistics.

  3. Yilin Song, James P. Hughes, Ting Ye (2024). Adjusting for Incomplete Baseline Covariates in Randomized Controlled Trials: A Cross-World Imputation Framework. Biometrics.

  4. Ting Ye, Yanyao Yi, Jun Shao (2022). Inference on Average Treatment Effect under Minimization and Other Covariate-Adaptive Randomization Methods. Biometrika. 

• Nonlinear adjustment

  1. Xiaoyu Qiu, Yuhan Qian, Jaehwan Yi, Jinqiu Wang, Yu Du, Yanyao Yi, Ting Ye (2024+). Clarifying the Role of the Mantel-Haenszel Risk Difference Estimator in Randomized Clinical Trials.

  2. Marlena S. Bannick, Jun Shao, Jingyi Liu, Yu Du, Yanyao Yi, Ting Ye (2025). A General Form of Covariate Adjustment in Randomized Clinical Trials. Biometrika.

  3. 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.

  4. Ting Ye (2018). Testing hypotheses under covariate-adaptive randomisation and additive models. Statistical Theory and Related Fields.

• Survival outcomes

  1. 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]

  2. Ting Ye, Jun Shao, Yanyao Yi (2023). Covariate-Adjusted Log-Rank Test: Guaranteed Efficiency Gain and Universal Applicability. Biometrika. [Slides, Video]

• Miscellaneous

  1. Danni Shi and Ting Ye (2024). Behavioral Carry-Over Effect and Power Consideration in Crossover Trials. Biometrics.

  2. 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.

  3. 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.