Journal
STATISTICS IN MEDICINE
Volume 30, Issue 26, Pages 3067-3081Publisher
WILEY
DOI: 10.1002/sim.4342
Keywords
adaptive design; Bayesian statistics; oncology; treatment selection
Ask authors/readers for more resources
This paper discusses the application of an adaptive design for treatment arm selection in an oncology trial, with survival as the primary endpoint and disease progression as a key secondary endpoint. We carried out treatment arm selection at an interim analysis by using Bayesian predictive power combining evidence from the two endpoints. At the final analysis, we carried out a frequentist statistical test of efficacy on the survival endpoint. We investigated several approaches (Bonferroni approach, 'Dunnett-like' approach, a conditional error function approach and a combination p-value approach) with respect to their power and the precise conditions under which type I error control is attained. Copyright (C) 2011 John Wiley & Sons, Ltd.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available