Title | On sample size calculation for comparing survival curves under general hypothesis testing. |
Publication Type | Journal Article |
Year of Publication | 2012 |
Authors | Jung, Sin-Ho, and Shein-Chung Chow |
Journal | J Biopharm Stat |
Volume | 22 |
Issue | 3 |
Pagination | 485-95 |
Date Published | 2012 |
ISSN | 1520-5711 |
Keywords | Humans, 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. |
DOI | 10.1080/10543406.2010.550701 |
Alternate Journal | J Biopharm Stat |
Original Publication | On sample size calculation for comparing survival curves under general hypothesis testing. |
PubMed ID | 22416836 |
PubMed Central ID | PMC3340563 |
Grant List | P01 CA142538 / CA / NCI NIH HHS / United States P01 CA142538-01 / CA / NCI NIH HHS / United States CA142538-01 / CA / NCI NIH HHS / United States |
On sample size calculation for comparing survival curves under general hypothesis testing.
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