Regression-based multiple treatment effect estimation under covariate-adaptive randomization

Cites Work

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Rerandomization to improve covariate balance in experiments
Asymptotic properties of covariate-adaptive randomization
Agnostic notes on regression adjustments to experimental data: reexamining Freedman's critique
On regression adjustments in experiments with several treatments
Multi-arm covariate-adaptive randomization
Inference Under Covariate-Adaptive Randomization
A theory for testing hypotheses under covariate-adaptive randomization
A Treatment Allocation Procedure for Sequential Clinical Trials
Optimum biased coin designs for sequential clinical trials with prognostic factors
Inference on the average treatment effect under minimization and other covariate-adaptive randomization methods
Statistical Inference for Covariate-Adaptive Randomization Procedures
Inference under covariate‐adaptive randomization with multiple treatments
Regression-adjusted average treatment effect estimates in stratified randomized experiments
Efficiency Study of Estimators for a Treatment Effect in a Pretest–Posttest Trial
Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials
Forcing a sequential experiment to be balanced
Lasso-adjusted treatment effect estimation under covariate-adaptive randomization
The impact of misclassification on covariate‐adaptive randomized clinical trials
The Generalized Oaxaca-Blinder Estimator
Inference in Experiments With Matched Pairs
Regression analysis for covariate-adaptive randomization: a robust and efficient inference perspective

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