activity
20052020
most citedAsymptotic Properties of Covariate-Adjusted Adaptive Designs

117 citations · 636 across the 17 of their papers we have counts for

collaborators

17 papers

stat.ME2020

Adaptive Randomization in Network Data

Zhixin Zhou, Ping Li, Feifang Hu

Network data have appeared frequently in recent research. For example, in comparing the effects of different types of treatment, network models have been proposed to improve the qu…

stat.ME2020★ 13 cited

Testing for Treatment Effect in Covariate-Adaptive Randomized Clinical Trials with Generalized Linear Models and Omitted Covariates

Li Yang, Wei Ma, Yichen Qin +1

Concerns have been expressed over the validity of statistical inference under covariate-adaptive randomization despite the extensive use in clinical trials. In the literature, the…

stat.ME2020★ 3 cited

Cluster-Adaptive Network A/B Testing: From Randomization to Estimation

Yifan Zhou, Yang Liu, Ping Li +1

A/B testing is an important decision-making tool in product development for evaluating user engagement or satisfaction from a new service, feature or product. The goal of A/B testi…

math.ST2020★ 12 cited

On the Theory of Covariate-Adaptive Designs

Feifang Hu, Li-Xin Zhang

Pocock and Simon's marginal procedure (Pocock and Simon, 1975) is often implemented forbalancing treatment allocation over influential covariates in clinical trials. However, the t…

math.ST2018★ 55 cited

Statistical Inference for Covariate-Adaptive Randomization Procedures

Wei Ma, Yichen Qin, Yang Li +1

Covariate-adaptive randomization (CAR) procedures are frequently used in comparative studies to increase the covariate balance across treatment groups. However, because randomizati…

stat.ME2016★ 13 cited

Pairwise Sequential Randomization and Its Properties

Yichen Qin, Yang Li, Wei Ma +1

In comparative studies, such as in causal inference and clinical trials, balancing important covariates is often one of the most important concerns for both efficient and credible…