Fitting Weibull duration models with random effects

DOI10.1007/BF00985449zbMath0860.62091OpenAlexW2038921214WikidataQ73911961 ScholiaQ73911961MaRDI QIDQ1126009

Cindy Christiansen, Carl N. Morris

Publication date: 23 April 1997

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

Full work available at URL: https://doi.org/10.1007/bf00985449

zbMATH Keywords

correlated failure timesclustered dataPoisson regressionfrailty modelsEMkidney transplantationduration time modelsmedical profilingparametric survival regression modelsPRIMMrandom effects hierarchical models

Mathematics Subject Classification ID

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

Related Items (1)

log-Burr XII gamma-Weibull regression model with random effects and censored data

Uses Software

• Unnamed Item

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Multivariate survival models for repeated and correlated events
• Semiparametric Bayesian Analysis of Multiple Event Time Data
• Modelling Paired Survival Data with Covariates
• Survival models for heterogeneous populations derived from stable distributions
• Regression Methods for Poisson Process Data
• Bivariate Survival Models Induced by Frailties
• The Fitting of Exponential, Weibull and Extreme Value Distributions to Complex Censored Survival Data Using GLIM
• Time-Dependent Association Measures for Bivariate Survival Distributions
• The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
• Stein's Estimation Rule and Its Competitors--An Empirical Bayes Approach

This page was built for publication: Fitting Weibull duration models with random effects