Title | Sample size determination in shared frailty models for multivariate time-to-event data. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu |
Journal | J Biopharm Stat |
Volume | 24 |
Issue | 4 |
Pagination | 908-23 |
Date Published | 2014 |
ISSN | 1520-5711 |
Keywords | Data 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. |
DOI | 10.1080/10543406.2014.901346 |
Alternate Journal | J Biopharm Stat |
Original Publication | Sample size determination in shared frailty models for multivariate time-to-event data. |
PubMed ID | 24697252 |
PubMed Central ID | PMC4024091 |
Grant List | P01 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 |
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