Sample size determination in shared frailty models for multivariate time-to-event data.

TitleSample size determination in shared frailty models for multivariate time-to-event data.
Publication TypeJournal Article
Year of Publication2014
AuthorsChen, Liddy M., Joseph G. Ibrahim, and Haitao Chu
JournalJ Biopharm Stat
Volume24
Issue4
Pagination908-23
Date Published2014
ISSN1520-5711
KeywordsData Interpretation, Statistical, Humans, Multivariate Analysis, Sample Size, Time Factors
Abstract

The frailty model is increasingly popular for analyzing multivariate time-to-event data. The most common model is the shared frailty model. Although study design consideration is as important as analysis strategies, sample size determination methodology in studies with multivariate time-to-event data is greatly lacking in the literature. In this article, we develop a sample size determination method for the shared frailty model to investigate the treatment effect on multivariate event times. We analyzed the data using both a parametric model and a piecewise model with unknown baseline hazard, and compare the empirical power with the calculated power. Last, we discuss the formula for testing the treatment effect on recurrent events.

DOI10.1080/10543406.2014.901346
Alternate JournalJ Biopharm Stat
Original PublicationSample size determination in shared frailty models for multivariate time-to-event data.
PubMed ID24697252
PubMed Central IDPMC4024091
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States
U54-MD008620 / MD / NIMHD NIH HHS / United States
1P01CA142538 / CA / NCI NIH HHS / United States
2P30CA077598 / CA / NCI NIH HHS / United States
Project: