The past two decades have witnessed a surge of new research in the analysis of
randomized experiments. The emergence of this literature may seem surprising given the …

This paper proposes an adaptive randomisation procedure for two-stage randomised
controlled trials. The method uses data from a first-wave experiment in order to determine …

This paper studies inference for the local average treatment effect in randomized controlled
trials with imperfect compliance where treatment status is determined according to “matched …

Randomized controlled trials (RCTs) frequently utilize covariate-adaptive randomization
(CAR)(eg, stratified block randomization) and commonly suffer from imperfect compliance …

We investigate how to improve efficiency using regression adjustments with covariates in
covariate-adaptive randomizations (CARs) with imperfect subject compliance. Our …

Datasets from field experiments with covariate-adaptive randomizations (CARs) usually
contain extra covariates in addition to the strata indicators. We propose to incorporate these …

Pocock and Simon's minimization method is a popular approach for covariate‐adaptive
randomization in clinical trials. Valid statistical inference with data collected under the …

In the past decade, significant progress has been made regarding inference under covariate-
adaptive randomisation. We thank Prof. Shao for a timely review of the growing literature …