ArticleStatistical methods in medical research2017
Bayesian analysis of multi-type recurrent events and dependent termination with nonparametric covariate functions.
Article in Statistical methods in medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Publicly Available Clinical Trial Safety Data: Review and a Call for Standardization and Improved Reporting Practices.Pharmaceutical medicine · 2026Review
- A novel average treatment effect estimation approach for integrated incomplete datasets, with application in childhood anemia.BMC medical research methodology · 2026Article
- Bayesian semi-parametric inference for clustered recurrent events with zero inflation and a terminal event.Journal of the Royal Statistical Society. Series C, Applied statistics · 2024Article
- A Dynamic Risk Model for Multitype Recurrent Events.American journal of epidemiology · 2023 · on this mapArticle
- Bayesian criterion-based assessments of recurrent event models with applications to commercial truck driver behavior studies.Statistics in medicine · 2022Article
- Compound Poisson frailty model with a gamma process prior for the baseline hazard: accounting for a cured fraction.Journal of applied statistics · 2022Article
- A Bayesian joint model of recurrent events and a terminal event.Biometrical journal. Biometrische Zeitschrift · 2019Article
- Integration of DNA methylation and gene transcription across nineteen cell types reveals cell type-specific and genomic region-dependent regulatory patterns.Scientific reports · 2017Article
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Authors and funding
4 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.