On log-linear modeling for an incomplete two-way contingency table with one variable subject to nonresponse

DOI10.1080/03610918.2018.1490427OpenAlexW2900996750MaRDI QIDQ5088015

Daeyoung Kim, Seongyong Kim, Saebom Jeon

Publication date: 4 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1490427

zbMATH Keywords

log-linear modelboundary solutionsincomplete contingency tablemissing data mechanism

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Contingency tables (62H17)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Missing data mechanisms and their implications on the analysis of categorical data
• On missing-at-random mechanism in two-way incomplete contingency tables
• A product-multinomial framework for categorical data analysis with missing responses
• Incomplete categorical data analysis: a bayesian perspective
• A semiparametric approach for analyzing nonignorable missing data
• A Bayesian Hierarchical Model for Categorical Data with Nonignorable Nonresponse
• Every Missingness not at Random Model Has a Missingness at Random Counterpart with Equal Fit
• Model-based Inference for Categorical Survey Data Subject to Non-ignorable Non-response
• Sensitivity Analysis for Incomplete Contingency Tables: The Slovenian Plebiscite Case
• Allowing for Non-Ignorable Non-Response in the Analysis of Voting Intention Data
• Interval Estimation for Log-Linear Models with One Variable Subject to Non-Ignorable Non-Response
• Pattern-Mixture Models for Multivariate Incomplete Data
• On boundary solutions and identifiability in categorical regression with non-ignorable non-response

This page was built for publication: On log-linear modeling for an incomplete two-way contingency table with one variable subject to nonresponse