Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations

DOI10.1111/insr.12329OpenAlexW2957466487WikidataQ127727928 ScholiaQ127727928MaRDI QIDQ6086589

Christian Heumann, Thomas Augustin, Unnamed Author, Marco E. G. V. Cattaneo, Georg Schollmeyer

Publication date: 10 November 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/insr.12329

zbMATH Keywords

missing datapartial identificationcoarse data(cumulative) logit model(profile) likelihoodPASS data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Levelwise data disambiguation by cautious superset classification ⋮ Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Partial identification of probability distributions with misclassified data
• Statistical modeling under partial identification: distinguishing three types of identification regions in regression analysis with interval data
• Ignorability and coarse data
• On the testability of coarsening assumptions: a hypothesis test for subgroup independence
• A framework for learning fuzzy rule-based models with epistemic set-valued data and generalized loss functions
• Partial identification of probability distributions.
• Likelihood-based imprecise regression
• Partial identification and robust treatment choice: an application to young offenders
• Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization
• Likelihood-based belief function: justification and some extensions to low-quality data
• Statistical inference
• Misspecification in moment inequality models: back to moment equalities?
• Inference and missing data
• Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data
• Regression
• Multiple Imputation: Theory and Method
• Informative Drop-Out in Longitudinal Data Analysis
• An Introduction to Random Sets
• More on Confidence Intervals for Partially Identified Parameters
• Confidence Intervals for Partially Identified Parameters
• Linear mixed models for longitudinal data
• Credible interval estimates for official statistics with survey nonresponse
• Alternative Indicators for the Risk of Non‐response Bias: A Simulation Study
• A Brief Review of Approaches to Non‐ignorable Non‐response
• Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review

This page was built for publication: Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations