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

TitlePhase II clinical trials with time-to-event endpoints: optimal two-stage designs with one-sample log-rank test.
Publication TypeJournal Article
Year of Publication2014
AuthorsKwak, Minjung, and Sin-Ho Jung
JournalStat Med
Volume33
Issue12
Pagination2004-16
Date Published2014 May 30
ISSN1097-0258
KeywordsAlgorithms, Clinical Trials, Phase II as Topic, Data Interpretation, Statistical, Disease-Free Survival, Humans, Research Design, Sample Size, Treatment Outcome
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.

DOI10.1002/sim.6073
Alternate JournalStat Med
Original PublicationPhase II clinical trials with time-to-event endpoints: optimal two-stage designs with one-sample log-rank test.
PubMed ID24338995
PubMed Central IDPMC4013236
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States
CA142538-01 / CA / NCI NIH HHS / United States
Project: