Augmenting the logrank test in the design of clinical trials in which non-proportional hazards of the treatment effect may be anticipated

Abstract Background Most randomized controlled trials with a time-to-event outcome are designed assuming proportional hazards (PH) of the treatment effect. The sample size calculation is based on a logrank test. However, non-proportional hazards are increasingly common. At analysis, the estimated ha...

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Bibliographic Details
Main Authors: Patrick Royston, Mahesh K.B. Parmar
Format: Article
Language:English
Published: BMC 2016-02-01
Series:BMC Medical Research Methodology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12874-016-0110-x