Multilevel joint frailty model for hierarchically clustered binary and survival data
From MaRDI portal
Publication:6626897
DOI10.1002/sim.9829zbMATH Open1548.62458MaRDI QIDQ6626897
Howard D. Bondell, Richard Tawiah
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
hierarchical modelclustered dataresidual maximum likelihoodbone marrow transplantationmultivariate frailtymulticenter study
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Gaussian copula mixed models for clustered mixed outcomes, with application in developmental toxicology
- Modeling survival data: extending the Cox model
- Survival analysis. Techniques for censored and truncated data.
- The frailty model.
- Statistical evaluation of surrogate endpoints with examples from cancer clinical trials
- A Frailty Model for Informative Censoring
- Seamlessly Expanding a Randomized Phase II Trial to Phase III
- A Bayesian Semiparametric Joint Hierarchical Model for Longitudinal and Survival Data
- Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
- Association Models for Clustered Data with Binary and Continuous Responses
- The derivation of blup, ML, REML estimation methods for generalised linear mixed models
- Modelling Progression of CD4-Lymphocyte Count and Its Relationship to Survival Time
- Regression Models for a Bivariate Discrete and Continuous Outcome with Clustering
- A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction
- Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database
- Recent developments in expectation-maximization methods for analyzing complex data
- Multilevel model with random effects for clustered survival data with multiple failure outcomes
- A shared-parameter continuous-time hidden Markov and survival model for longitudinal data with informative dropout
- Joint modeling of binary response and survival for clustered data in clinical trials
- Joint modeling of progression-free and overall survival and computation of correlation measures
This page was built for publication: Multilevel joint frailty model for hierarchically clustered binary and survival data
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6626897)