Bayesian analysis of multi-type recurrent events and dependent termination with nonparametric covariate functions.

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Lin, L-A; Luo, S; Chen, BE; Davis, BR

Published Date

  • December 2017

Published In

Volume / Issue

  • 26 / 6

Start / End Page

  • 2869 - 2884

PubMed ID

  • 26546256

Pubmed Central ID

  • 26546256

Electronic International Standard Serial Number (EISSN)

  • 1477-0334

Digital Object Identifier (DOI)

  • 10.1177/0962280215613378

Language

  • eng

Conference Location

  • England