Multivariate frailty models for multi-type recurrent event data and its application to cancer prevention trial

DOI10.1016/J.CSDA.2016.01.018zbMath1466.62026OpenAlexW2282479330MaRDI QIDQ1659074

Jie Li, Khaled Bedair, Yili Hong, Hussein R. Al-Khalidi

Publication date: 15 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://discovery.dundee.ac.uk/en/publications/7be6bf63-0ef4-46e1-bbe6-cce1e1f935e6

zbMATH Keywords

EM algorithmrandom effectsproportional hazards modelMCMCskin cancercorrelated frailty

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (5)

A stochastic version of the EM algorithm for mixture cure model with exponentiated Weibull family of lifetimes ⋮ A semiparametric additive rates model for the weighted composite endpoint of recurrent and terminal events ⋮ Modeling past event feedback through biomarker dynamics in the multistate event analysis for cardiovascular disease data ⋮ Copula-frailty models for recurrent event data based on Monte Carlo EM algorithm ⋮ A copula-based Markov chain model for serially dependent event times with a dependent terminal event

Uses Software

• R
• frailtypack

Cites Work

• Unnamed Item
• The analysis of multivariate recurrent events with partially missing event types
• Piecewise exponential models for survival data with covariates
• Maximum likelihood inference for multivariate frailty models using an automated Monte Carlo EM algorithm
• Modeling survival data: extending the Cox model
• Marginal means/rates models for multiple type recurrent event data
• Asymptotic theory for the correlated gamma-frailty model
• The statistical analysis of recurrent events.
• The frailty model.
• Multivariate frailty models for two types of recurrent events with a dependent terminal event: Application to breast cancer data
• Insights on the Robust Variance Estimator under Recurrent-Events Model
• Evolution of Recurrent Asthma Event Rate Over Time in Frailty Models
• Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
• Robust Tests for Treatment Comparisons Based on Recurrent Event Responses
• Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
• An automated (Markov chain) Monte Carlo EM algorithm
• SURVIVAL ANALYSIS WITH TIME DEPENDENT FRAILTY USING A LONGITUDINAL MODEL

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