Joint modeling of multivariate censored longitudinal and event time data with application to the Genetic Markers of Inflammation Study

DOI10.1080/02664763.2014.909783zbMath1352.62018OpenAlexW2011694475MaRDI QIDQ2953281

Lisa A. Weissfeld, Chung-Chou H. Chang, Francis Pike

Publication date: 4 January 2017

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

Full work available at URL: https://doi.org/10.1080/02664763.2014.909783

zbMATH Keywords

linear mixed modelsfrailty modelsjoint modelingsurvival analysesshared parameter models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Medical applications (general) (92C50) Genetics and epigenetics (92D10)

Related Items (1)

Diagnosability analysis of hybrid systems cast in a discrete-event framework

Uses Software

• SAS
• SAS/STAT

Cites Work

• Estimation of Relationships for Limited Dependent Variables
• Random-Effects Models for Longitudinal Data
• A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error
• Joint Analysis of Longitudinal Data Comprising Repeated Measures and Times to Events
• Modelling Progression of CD4-Lymphocyte Count and Its Relationship to Survival Time
• Joint modelling of longitudinal measurements and event time data
• A Flexible B‐Spline Model for Multiple Longitudinal Biomarkers and Survival

This page was built for publication: Joint modeling of multivariate censored longitudinal and event time data with application to the Genetic Markers of Inflammation Study