Latent class regression: Inference and estimation with two-stage multiple imputation

DOI10.1002/bimj.201200020zbMath1441.62366OpenAlexW1570357347WikidataQ37217825 ScholiaQ37217825MaRDI QIDQ2857483

Hwan Chung, Ofer Harel, Diana L. Miglioretti

Publication date: 4 November 2013

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3791520

zbMATH Keywords

missing datamultiple imputationlatent class regressionmissing information

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Missing data (62D10)

Related Items (1)

Latent class analysis of incomplete data via an entropy-based criterion

Uses Software

• Mplus
• Latent GOLD

Cites Work

• Inferences on missing information under multiple imputation and two-stage multiple imputation
• Markov chains for exploring posterior distributions. (With discussion)
• Inferences for two-stage multiple imputation for nonresponse
• Latent Structure Analysis of a Set of Multidimensional Contingency Tables
• Partial and latent ignorability in missing-data problems
• Inferences on the Outfluence – How do Missing Values Impact Your Analysis?
• The Calculation of Posterior Distributions by Data Augmentation
• Latent Variable Regression for Multiple Discrete Outcomes
• Exploratory latent structure analysis using both identifiable and unidentifiable models
• Confidence Intervals for Partially Identified Parameters
• Monte Carlo strategies in scientific computing
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