Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event

DOI10.1007/S10985-022-09587-ZarXiv2103.14368OpenAlexW3142773684MaRDI QIDQ6164150

Hein Putter, Monique A. A. Caljouw, Jutta Gampe, Marie Böhnstedt

Publication date: 27 July 2023

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2103.14368

zbMATH Keywords

Gaussian quadraturefrailtyrecurrent eventsleft truncationjoint modeling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62Nxx)

Cites Work

• Survival analysis. Techniques for censored and truncated data.
• The statistical analysis of recurrent events.
• The frailty model.
• Joint frailty models for recurring events and death using maximum penalized likelihood estimation: application on cancer events
• An Estimating Function Approach to the Analysis of Recurrent and Terminal Events
• Computationally Efficient Marginal Models for Clustered Recurrent Event Data
• Semiparametric Analysis of Recurrent Events Data in the Presence of Dependent Censoring
• Shared Frailty Models for Recurrent Events and a Terminal Event
• Clustered Survival Data with Left‐truncation
• The unobserved heterogeneity distribution in duration analysis
• Joint modeling of longitudinal, recurrent events and failure time data for survivor's population
• Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data
• Inference for Shared-Frailty Survival Models with Left-Truncated Data

This page was built for publication: Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event