Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques

DOI10.1007/s00180-022-01280-xOpenAlexW4296397708MaRDI QIDQ6188255

Christine A. Petersen, Nicholas Seedorff, Breanna M. Scorza, Grant D. Brown

Publication date: 7 February 2024

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-022-01280-x

zbMATH Keywords

BayesianMCMClongitudinal data analysisordinal regression

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

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• Cross-covariance functions for multivariate geostatistics
• Understanding predictive information criteria for Bayesian models
• OpenMX 2.0: extended structural equation and statistical modeling
• Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers
• ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors
• Modeling survival data: extending the Cox model
• Inference from iterative simulation using multiple sequences
• Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies
• The econometrics of panel data. Fundamental and recent developments in theory and practice.
• Bayesian Inference for the Spatial Random Effects Model
• Bayesian Tobit Modeling of Longitudinal Ordinal Clinical Trial Compliance Data With Nonignorable Missingness
• A mixed autoregressive probit model for ordinal longitudinal data
• Bayesian Dynamic Panel-Ordered Probit Model and Its Application to Subjective Well-Being
• Seeking efficient data augmentation schemes via conditional and marginal augmentation
• A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses
• Parameter Expansion for Data Augmentation
• Bayesian Measures of Model Complexity and Fit
• Bayesian quantile regression for joint modeling of longitudinal mixed ordinal and continuous data
• Order-Free Co-Regionalized Areal Data Models with Application to Multiple-Disease Mapping
• Joint modeling of mixed skewed continuous and ordinal longitudinal responses: a Bayesian approach
• Bayesian Analysis of Binary and Polychotomous Response Data
• Dimension folding PCA and PFC for matrix-valued predictors
• Domain-Level Covariance Analysis for Multilevel Survey Data With Structured Nonresponse

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