Marginalized transition random effect models for multivariate longitudinal binary data
From MaRDI portal
Publication:5421214
DOI10.1002/cjs.5550350110zbMath1219.62113OpenAlexW1991705432MaRDI QIDQ5421214
Publication date: 22 October 2007
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.5550350110
Applications of statistics to social sciences (62P25) Generalized linear models (logistic models) (62J12) Monte Carlo methods (65C05) Numerical analysis or methods applied to Markov chains (65C40)
Related Items
Joint models of dynamics of mothers’ stress and children’s disease ⋮ A marginalized multilevel model for bivariate longitudinal binary data ⋮ First-order marginalised transition random effects models with probit link function ⋮ Semi-parametric marginal models for hierarchical data and their corresponding full models ⋮ Forecasting multivariate longitudinal binary data with marginal and marginally specified models
Cites Work
- Longitudinal data analysis using generalized linear models
- Marginalized Transition Models and Likelihood Inference for Longitudinal Categorical Data
- Simultaneous modelling of the Cholesky decomposition of several covariance matrices
- Bayesian learning for neural networks
- Misspecified maximum likelihood estimates and generalised linear mixed models
- Sensitivity Analysis for Nonrandom Dropout: A Local Influence Approach
- Dynamic Conditionally Linear Mixed Models for Longitudinal Data
- Bayesian methods for generalized linear models with covariates missing at random
- The Calculation of Posterior Distributions by Data Augmentation
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Latent Variable Models for Teratogenesis Using Multiple Binary Outcomes
- A Model for Repeated Measurements of a Multivariate Binary Response
- Latent Variable Regression for Multiple Discrete Outcomes
- Marginally Specified Logistic‐Normal Models for Longitudinal Binary Data
- Reparameterizing the Pattern Mixture Model for Sensitivity Analyses Under Informative Dropout
- Bayesian Measures of Model Complexity and Fit
- A likelihood-based method for analysing longitudinal binary responses
- Improved Approximations for Multilevel Models with Binary Responses
- A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing*
- Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
- The analysis of repeated multivariate binary quality of life data: a hierarchical model approach
- Marginalized Models for Moderate to Long Series of Longitudinal Binary Response Data
- Marginal modeling of multilevel binary data with time-varying covariates
- Linear mixed models for longitudinal data
