Analysis of a composite endpoint with longitudinal and time-to-event data
Article first published online: 22 FEB 2011
Copyright © 2011 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 30, Issue 9, pages 1018–1027, 30 April 2011
How to Cite
Tseng, C.-h. and Wong, W. K. (2011), Analysis of a composite endpoint with longitudinal and time-to-event data. Statist. Med., 30: 1018–1027. doi: 10.1002/sim.4199
- Issue published online: 7 APR 2011
- Article first published online: 22 FEB 2011
- Manuscript Accepted: 16 DEC 2010
- Manuscript Received: 28 AUG 2009
- joint modeling;
- level crossing;
- multiple outcomes;
We propose a new nonparametric test to compare treatment effects using a composite endpoint comprising a longitudinal continuous measurement and multiple time-to-event outcomes. The composite endpoint incorporates the severity of each outcome as measured against the whole cohort in the entire study. This new proposed test is conceptually simple and computationally easy to implement. Unlike many currently available methods, our strategy is very flexible and can be applied to many types of clinical settings including the situation where we have multiple time-to-event outcomes. We apply our method to reanalyze two clinical trials for Scleroderma patients and also use simulation studies to show that the performance of our method is compatible with the results from a popular method proposed by Finkelstein and Schoenfeld (Statist. Med. 1999; 18:1341–1354). Copyright © 2011 John Wiley & Sons, Ltd.