Joint model for bivariate zero-inflated recurrent event data with terminal events

DOI10.1080/02664763.2020.1744539OpenAlexW3013309690MaRDI QIDQ5861543

Yang-Jin Kim

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1744539

zbMATH Keywords

joint modelterminal eventcure rate modelfrailty effectbivariate recurrent eventpiecewise baseline

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Unnamed Item
• Semiparametric model for recurrent event data with excess zeros and informative censoring
• Regression analysis of multivariate recurrent event data with a dependent terminal event
• Marginal means/rates models for multiple type recurrent event data
• The statistical analysis of recurrent events.
• Joint frailty models for zero-inflated recurrent events in the presence of a terminal event
• Analysis of multivariate recurrent event data with time-dependent covariates and informative censoring
• A Frailty Model for Informative Censoring
• Shared Frailty Models for Recurrent Events and a Terminal Event
• Analysis of interval-grouped recurrent-event data using piecewise constant rate functions
• Nonparametric Analysis of Recurrent Events and Death
• Dissimilarity Measures for Histogram-valued Observations
• Semiparametric Analysis of Correlated Recurrent and Terminal Events
• Tests for multivariate recurrent events in the presence of a terminal event

This page was built for publication: Joint model for bivariate zero-inflated recurrent event data with terminal events