Bayesian analysis of multi-type recurrent events and dependent termination with nonparametric covariate functions.
Multi-type recurrent event data occur frequently in longitudinal studies. Dependent termination may occur when the terminal time is correlated to recurrent event times. In this article, we simultaneously model the multi-type recurrent events and a dependent terminal event, both with nonparametric covariate functions modeled by B-splines. We develop a Bayesian multivariate frailty model to account for the correlation among the dependent termination and various types of recurrent events. Extensive simulation results suggest that misspecifying nonparametric covariate functions may introduce bias in parameter estimation. This method development has been motivated by and applied to the lipid-lowering trial component of the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial.
Duke Scholars
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Related Subject Headings
- Statistics, Nonparametric
- Statistics & Probability
- Recurrence
- Randomized Controlled Trials as Topic
- Proportional Hazards Models
- Multivariate Analysis
- Monte Carlo Method
- Models, Statistical
- Markov Chains
- Longitudinal Studies
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Statistics, Nonparametric
- Statistics & Probability
- Recurrence
- Randomized Controlled Trials as Topic
- Proportional Hazards Models
- Multivariate Analysis
- Monte Carlo Method
- Models, Statistical
- Markov Chains
- Longitudinal Studies