An Approach to Categorical Data with Nonignorable Nonresponse

DOI10.2307/2533682zbMath1058.62514OpenAlexW2326310612WikidataQ31936698 ScholiaQ31936698MaRDI QIDQ4666100

Taesung Park

Publication date: 11 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2533682

zbMATH Keywords

EM algorithmmaximum likelihood estimatorsprior distributionlog-linear modelsnonignorable missing dataBayesian estimators

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Bayesian inference (62F15)

Related Items (6)

Power-linear models for incomplete contingency tables with nonignorable non-responses ⋮ Bayesian analysis for incomplete multi-way contingency tables with nonignorable nonresponse ⋮ Synthesizing categorical datasets to enhance inference ⋮ Missing data mechanisms and their implications on the analysis of categorical data ⋮ On maximum likelihood estimation for log-linear models with non-ignorable non-response ⋮ Dynamic Bayesian analysis for irregularly and incompletely observed contingency tables

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