Survival analysis following dynamic randomization

Xiaolong Luo, Mingyu Li, Gongjun Xu, Dongsheng Tu

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


In this paper, we propose a method to analyze survival data from a clinical trial that utilizes a dynamic randomization for subject enrollment. The method directly accounts for dynamic subject randomization process using a marked point process (MPP). Its corresponding martingale process is used to formulate an equation for estimating the treatment effect size and for hypothesis testing. We perform simulation analyses to evaluate the outcomes of the proposed method as well as the conventional log rank method and re-randomized testing procedure.

Original languageEnglish (US)
Pages (from-to)39-47
Number of pages9
JournalContemporary Clinical Trials Communications
StatePublished - Aug 15 2016

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