On sample size calculation for comparing survival curves under general hypothesis testing.

TitleOn sample size calculation for comparing survival curves under general hypothesis testing.
Publication TypeJournal Article
Year of Publication2012
AuthorsJung, Sin-Ho, and Shein-Chung Chow
JournalJ Biopharm Stat
Volume22
Issue3
Pagination485-95
Date Published2012
ISSN1520-5711
KeywordsHumans, Neoplasms, Proportional Hazards Models, Sample Size, Survival Rate
Abstract

The log-rank test is commonly used to test the equivalence of two survival distributions under right censoring. Jung et al. (2005) proposed a modified log-rank test for noninferiority trials and its corresponding sample size calculation. In this article, we extend the use of the modified log-rank test for clinical trials with various types of nonconventional study objectives and propose its sample size calculation under general null and alternative hypotheses. The proposed formula is so flexible that we can specify any survival distributions and accrual pattern. The proposed methods are illustrated with designing real clinical trials. Through simulations, the modified log-rank test and the derived formula for sample size calculation are shown to have satisfactory small sample performance.

DOI10.1080/10543406.2010.550701
Alternate JournalJ Biopharm Stat
Original PublicationOn sample size calculation for comparing survival curves under general hypothesis testing.
PubMed ID22416836
PubMed Central IDPMC3340563
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States
P01 CA142538-01 / CA / NCI NIH HHS / United States
CA142538-01 / CA / NCI NIH HHS / United States
Project: