Model misspecification and robust analysis for outcome-dependent sampling designs under generalized linear models

DOI10.1002/SIM.9673zbMATH Open1545.62454MaRDI QIDQ6617490

Jacob M. Maronge, Jonathan S. Schildcrout, Paul J. Rathouz

Publication date: 11 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

efficiencysemi-parametric modelsgeneralized linear modelsoutcome-dependent samplingtwo-phase studies

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Generalized linear models with unspecified reference distribution
• Statistics in Epidemiology: The Case-Control Study
• Logistic regression for two-stage case-control data
• Logistic disease incidence models and case-control studies
• Semiparametric Methods for Response-Selective and Missing Data Problems in Regression
• A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling
• Design and Analysis of Two-Phase Studies with Binary Outcome Applied to Wilms Tumour Prognosis
• Separate sample logistic discrimination
• An Estimated Likelihood Method for Continuous Outcome Regression Models With Outcome-Dependent Sampling
• Generalized case‐control sampling under generalized linear models

This page was built for publication: Model misspecification and robust analysis for outcome-dependent sampling designs under generalized linear models

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6617490)