Literature DB >> 24338995

Phase II clinical trials with time-to-event endpoints: optimal two-stage designs with one-sample log-rank test.

Minjung Kwak1, Sin-Ho Jung.   

Abstract

Phase II clinical trials are often conducted to determine whether a new treatment is sufficiently promising to warrant a major controlled clinical evaluation against a standard therapy. We consider single-arm phase II clinical trials with right censored survival time responses where the ordinary one-sample logrank test is commonly used for testing the treatment efficacy. For planning such clinical trials, this paper presents two-stage designs that are optimal in the sense that the expected sample size is minimized if the new regimen has low efficacy subject to constraints of the type I and type II errors. Two-stage designs, which minimize the maximal sample size, are also determined. Optimal and minimax designs for a range of design parameters are tabulated along with examples.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  logrank test; minimax design; optimal design; single arm trial; time to event; two-stage design

Mesh:

Year:  2013        PMID: 24338995      PMCID: PMC4013236          DOI: 10.1002/sim.6073

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


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9.  Sample size calculation for small sample single-arm trials for time-to-event data: Logrank test with normal approximation or test statistic based on exact chi-square distribution?

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