Covariate Adjustment in Randomized Trials  -- R package 📦: RobinCar

• Linear adjustment

  1. 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]

  2. Katarzyna Reluga, Ting Ye, Qingyuan Zhao. A Unified Analysis of Regression Adjustment in Randomized Experiments. 

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

  4. Ting Ye, Yanyao Yi, Jun Shao (2020). Inference on Average Treatment Effect under Minimization and Other Covariate-Adaptive Randomization Methods. Biometrika. 

• Nonlinear adjustment

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

  2. 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

  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. 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.

  2. 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 Comment on FDA draft guidance for industry FDA-2019-D-0934: adjusting for covariates in randomized clinical trials for drugs and biological products.

Mendelian Randomization: Using Genetic Data to Strengthen Causal Inference

• Ting Ye, Jun Shao, Hyunseung Kang (2020). Debiased Inverse-Variance Weighted Estimator in Two-Sample Summary-Data Mendelian Randomization. Annals of Statistics. [Slides, R package]

• Ting Ye, Zhonghua Liu, Baoluo Sun, Eric J. Tchetgen Tchetgen. GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments. [Slides, R package] 

• Zhonghua Liu, Ting Ye, Baoluo Sun, Mary Schooling, and Eric J. Tchetgen Tchetgen (2023+). On Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification (MR MiSTERI) and Estimation for Causal Inference. Biometrics.