A class of joint models for multivariate longitudinal measurements and a binary event

DOI10.1111/biom.12463zbMath1390.62276OpenAlexW2235583835WikidataQ40121003 ScholiaQ40121003MaRDI QIDQ2827209

Paul S. Albert, Sungduk Kim

Publication date: 12 October 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4940348

zbMATH Keywords

predictionsamplingultrasound measurementgeneralized \(t\)-distributionasymmetric linkmacrosomiaskewed multivariate random effects model

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)

Related Items

Joint modeling of longitudinal continuous, longitudinal ordinal, and time-to-event outcomes, Flexible link functions in a joint hierarchical Gaussian process model

Cites Work

• Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
• Flexible generalized t-link models for binary response data
• The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem
• A New Skewed Link Model for Dichotomous Quantal Response Data
• Bayesian Measures of Model Complexity and Fit
• Bayesian Analysis of Binary and Polychotomous Response Data
• On criteria for evaluating models of absolute risk
• Bayesian Analysis for Generalized Linear Models with Nonignorably Missing Covariates
• A Bayesian Latent Variable Mixture Model for Longitudinal Fetal Growth
• Bayesian survival analysis