A joint marginalized multilevel model for longitudinal outcomes
From MaRDI portal
Publication:5127107
DOI10.1080/02664763.2012.711302OpenAlexW2013050289MaRDI QIDQ5127107
Geert Molenberghs, Samuel Iddi
Publication date: 21 October 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/1942/14736
generalized estimating equationjoint modelrandom-effects modelmaximum-likelihood estimationshared-parameter modelmarginal multilevel model
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Uses Software
Cites Work
- Longitudinal data analysis using generalized linear models
- Random-Effects Models for Longitudinal Data
- The evaluation of surrogate endpoints.
- Models for discrete longitudinal data.
- The Use of Score Tests for Inference on Variance Components
- Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
- Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data
- Marginal Modeling of Correlated Ordinal Data Using a Multivariate Plackett Distribution
- A Joint Model for Survival and Longitudinal Data Measured with Error
- Mixed-Effects Models in S and S-PLUS
- Criteria for the Validation of Surrogate Endpoints in Randomized Experiments
- Marginally Specified Logistic‐Normal Models for Longitudinal Binary Data
- Regression Analysis When Covariates Are Regression Parameters of a Random Effects Model for Observed Longitudinal Measurements
- A likelihood-based method for analysing longitudinal binary responses
- Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
- Modelling Progression of CD4-Lymphocyte Count and Its Relationship to Survival Time
- Joint Models for a Primary Endpoint and Multiple Longitudinal Covariate Processes
- Recovery of inter-block information when block sizes are unequal
- Longitudinal Data Analysis
- Linear mixed models for longitudinal data
- Prediction of pregnancy: a joint model for longitudinal and binary data
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