Modeling Random Effects for Censored Data by a Multivariate Normal Regression Model
From MaRDI portal
Publication:4666595
DOI10.1111/J.0006-341X.1999.00497.XzbMath1059.62546WikidataQ30650142 ScholiaQ30650142MaRDI QIDQ4666595
John P. Klein, Mei-Jie Zhang, Corey Pelz
Publication date: 13 April 2005
Published in: Biometrics (Search for Journal in Brave)
Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Estimation in survival analysis and censored data (62N02)
Related Items (9)
Accelerated intensity frailty model for recurrent events data ⋮ Penalized h‐likelihood approach for variable selection in AFT random‐effect models ⋮ Estimation in semiparametric conditional shared frailty models with events before study entry ⋮ Parametric and Semiparametric Conditional Shared Gamma Frailty Models with Events Before Study Entry ⋮ A test for equality of variances with censored samples ⋮ An alternative estimation method for the accelerated failure time frailty model ⋮ log-Burr XII gamma-Weibull regression model with random effects and censored data ⋮ Methods for Bivariate Survival Data with Mismeasured Covariates Under an Accelerated Failure Time Model ⋮ Multilevel mixed linear models for survival data
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Survival analysis. Techniques for censored and truncated data
- A Method of Analyzing Log-Normally Distributed Survival Data with Incomplete Follow-Up
- Survival models for heterogeneous populations derived from stable distributions
- Use of Generalised Linear Mixed Models for the Analysis of Clustered Survival Data
- Estimation of Variance in Cox's Regression Model with Shared Gamma Frailties
- Semi‐parametric estimation of covariate effects using the positive stable frailty model
This page was built for publication: Modeling Random Effects for Censored Data by a Multivariate Normal Regression Model