Sample size calculation for comparing survival curves under general hypotheses testing (Fortran).

TitleSample size calculation for comparing survival curves under general hypotheses testing (Fortran).
Publication TypeSoftware
Year of Publication2012
AuthorsJung, Sin-Ho, and Shein-Chung Chow
Abstract

The standard log-rank test is commonly used to test if an experimental arm has a longer survival distribution than a control arm, while the non-inferiority log-rank test is to test if an experimental arm has a survival distribution no better than but similar to that of a control arm. In this paper, the authors extend the use of the log-rank test for clinical trials with various types of non-conventional study objectives and propose its sample size calculation under general null and alternative hypotheses. The Fortran program calculate the sample size of randomized clinical trials comparing the survival distributions under various types of null and alternative hypotheses.

Original PublicationSample size calculation for comparing survival curves under general hypotheses testing (Fortran).
Project: