A note on the robustness of a full Bayesian method for nonignorable missing data analysis

DOI10.1214/10-BJPS132zbMath1239.62021OpenAlexW1999789039WikidataQ56928787 ScholiaQ56928787MaRDI QIDQ424819

Li Juan Wang, Zhi Yong Zhang

Publication date: 5 June 2012

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bjps/1333632163

zbMATH Keywords

robustnessBayesian estimationmultiple regressionselection model

Mathematics Subject Classification ID

Related Items (5)

BAGEL: a non-ignorable missing value estimation method for mixed attribute datasets ⋮ Bayesian analysis of latent Markov models with non-ignorable missing data ⋮ Robust growth mixture models with non-ignorable missingness: models, estimation, selection, and application ⋮ A latent transition analysis model for latent-state-dependent nonignorable missingness ⋮ Bayesian methods for dealing with missing data problems

Uses Software

• BayesDA

Cites Work

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• Missing data methods in longitudinal studies: a review
• Analysis of multivariate missing data with nonignorable nonresponse
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• A Note About Models for Selectivity Bias
• The Calculation of Posterior Distributions by Data Augmentation
• Models for Nonresponse in Sample Surveys
• Applied Bayesian Modelling
• Bayesian Analysis of Binary and Polychotomous Response Data
• Missing-Data Methods for Generalized Linear Models
• An invariant form for the prior probability in estimation problems

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