Comment on ‘Inference after covariate-adaptive randomisation: aspects of methodology and theory’

Abstract

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 about the topic. The paper is focused on the most important and commonly used class of covariate-adaptive randomisation methods, i.e., those balancing discrete covariates. The recent advances in robust inference are emphasised anddiscussed in detail. Several types of outcomes, such as continuous and time-to-event data, are covered. We here provide some additional recent results from the following five perspectives.