HGLM modelling of dropout process using a frailty model
From MaRDI portal
Publication:2488401
DOI10.1007/BF02789705zbMath1092.62102MaRDI QIDQ2488401
Keunkwan Ryu, Maengseok Noh, Youngjo Lee
Publication date: 24 May 2006
Published in: Computational Statistics (Search for Journal in Brave)
hierarchical generalized linear modelCox's proportional hazard rate modelhierarchical maximum likelihood estimation
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Generalized linear models (logistic models) (62J12) Estimation in survival analysis and censored data (62N02)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Hierarchical generalised linear models: A synthesis of generalised linear models, random-effect models and structured dispersions
- Comparison of hierarchical and marginal likelihood estimators for binary outcomes
- The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data
- Hierarchical-likelihood approach for mixed linear models with censored data
- Conditional and marginal models: another view (with comments and rejoinder)
- Estimation and comparison of Changes in the Presence of Informative Right Censoring: Conditional Linear Model
- Estimation and Comparison of Changes in the Presence of Informative Right Censoring by Modeling the Censoring Process
- Extended-REML estimators
- Model for the Analysis of Binary Longitudinal Pain Data Subject to Informative Dropout through Remedication
- Heterogeneity in Mantel-Haenszel-type models
- Maximum Likelihood Algorithms for Generalized Linear Mixed Models
- Mixed Effects Logistic Regression Models for Longitudinal Binary Response Data with Informative Drop-Out
- Approximate Inference in Generalized Linear Mixed Models
- Marginal likelihoods based on Cox's regression and life model
- Bias correction in generalised linear mixed models with a single component of dispersion
- An Approximate Generalized Linear Model with Random Effects for Informative Missing Data
This page was built for publication: HGLM modelling of dropout process using a frailty model