A latent class selection model for nonignorably missing data

DOI10.1016/j.csda.2010.07.002zbMath1247.62159OpenAlexW1983453455MaRDI QIDQ452686

Hyekyung Jung, Byungtae Seo

Publication date: 15 September 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.07.002

zbMATH Keywords

multiple imputationlatent class model

Mathematics Subject Classification ID

Multivariate analysis (62H99)

Uses Software

• BayesDA

Cites Work

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• Inference and missing data
• Latent Variable Regression for Multiple Discrete Outcomes
• Computational and Inferential Difficulties with Mixture Posterior Distributions
• Exploratory latent structure analysis using both identifiable and unidentifiable models
• Bayesian Inference for Generalized Linear and Proportional Hazards Models via Gibbs Sampling
• Informative Drop-Out in Longitudinal Data Analysis
• Multiple Imputation for Model Checking: Completed‐Data Plots with Missing and Latent Data
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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