Robust tests for treatment effect in survival analysis under covariate-adaptive randomization

• Published in: Journal of the Royal Statistical Society. Series B, Statistical methodology Vol. 82; no. 5; pp. 1301 - 1323
• Main Authors: Ye, Ting, Shao, Jun
• Format: Journal Article
• Language: English
• Published: Oxford Wiley 01.12.2020; Oxford University Press
• Subjects: Asymptotic properties; Clinical research; Clinical trials; Cox model; Error analysis; Generalized linear models; Linear analysis; linear models; Log‐rank test; Medical prognosis; Original Articles; patients; Pitman's asymptotic relative efficiency; probability; Randomization; Rank tests; Regression analysis; Robustness; Robustness against model misspecification; Simulation; Statistical methods; Statistical models; Statistics; Stratified permuted block; Survival; Survival analysis; testing; Type I error; variance; wills
• ISSN: 1369-7412; 1467-9868
• DOI: 10.1111/rssb.12392

Covariate-adaptive randomization is popular in clinical trials with sequentially arrived patients for balancing treatment assignments across prognostic factors that may have influence on the response. However, existing theory on tests for the treatment effect under covariate-adaptive randomization i...