Dependence modeling for multi-type recurrent events via copulas

DOI10.1002/sim.8283zbMath1545.62401MaRDI QIDQ6625203

Jooyoung Lee, Richard J. Cook

Publication date: 28 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

copulaEM algorithmfrailtycomposite likelihoodmulti-type recurrent events

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• On composite marginal likelihoods
• Semiparametric additive marginal regression models for multiple type recurrent events
• The analysis of multivariate recurrent events with partially missing event types
• Marginal means/rates models for multiple type recurrent event data
• The statistical analysis of recurrent events.
• Multivariate frailty models for two types of recurrent events with a dependent terminal event: Application to breast cancer data
• Regression Methods for Poisson Process Data
• Inference for means and covariances of point processes through estimating functions
• On Profile Likelihood
• Robust inference for bivariate point processes
• Composite likelihood and two-stage estimation in family studies
• Composite likelihood estimation in multivariate data analysis
• An Optimum Property of Regular Maximum Likelihood Estimation

Related Items (1)

Multistate modeling and structure selection for multitype recurrent events and terminal event data

This page was built for publication: Dependence modeling for multi-type recurrent events via copulas