Interval Estimation for Log-Linear Models with One Variable Subject to Non-Ignorable Non-Response

DOI10.1111/j.1369-7412.2003.04973.xzbMath1062.62127OpenAlexW2035005632WikidataQ58300015 ScholiaQ58300015MaRDI QIDQ4665851

Paul S. Clarke, Peter W. F. Smith

Publication date: 11 April 2005

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1369-7412.2003.04973.x

zbMATH Keywords

bootstrapconfidence intervalsprofile likelihoodcategorical databoundary solutionsinformative non-response

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09) Contingency tables (62H17)

Related Items (7)

Power-linear models for incomplete contingency tables with nonignorable non-responses ⋮ On the occurrence of boundary solutions in multidimensional incomplete tables ⋮ On log-linear modeling for an incomplete two-way contingency table with one variable subject to nonresponse ⋮ Identification of the occurrence of boundary solutions in a contingency table with nonignorable nonresponse ⋮ 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 ⋮ Local Model Uncertainty and Incomplete-Data Bias (With Discussion)

Cites Work

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• An appraisal of some aspects of statistical inference under inequality constraints
• Model-based Inference for Categorical Survey Data Subject to Non-ignorable Non-response
• Direct Calculation of the Information Matrix via the EM Algorithm
• Allowing for Non-Ignorable Non-Response in the Analysis of Voting Intention Data
• The bootstrap and Edgeworth expansion

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