Sample size determination in shared frailty models for multivariate time-to-event data.
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.
a Global Research Operation, Biostatistics, PAREXEL International , Durham , North Carolina , USA.
Liddy M
LM
Chen
Joseph G
JG
Ibrahim
Haitao
H
Chu
D003627:Data Interpretation, Statistical; D006801:Humans; D015999:Multivariate Analysis; D018401:Sample Size; D013997:Time Factors
Frailty model; Multivariate survival; Sample size