Maximum likelihood estimation for outcome‐dependent samples

DOI10.1111/anzs.12287zbMath1521.62016OpenAlexW3021766074MaRDI QIDQ6112939

Robert Graham Clark

Publication date: 8 August 2023

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12287

zbMATH Keywords

maximum likelihoodsurvey samplingoutcome-dependent samplingcase-controlsample likelihoodanalysis of complex surveys

Mathematics Subject Classification ID

Point estimation (62F10) Sampling theory, sample surveys (62D05)

Related Items (1)

A comparison of likelihood-based methods for size-biased sampling

Cites Work

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• Mass imputation for two-phase sampling
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• The Role of Sampling Weights When Modeling Survey Data
• Fitting regression models with response-biased samples
• Inference on population size in binomial detectability models
• Empirical likelihood ratio confidence intervals for a single functional
• Logistic disease incidence models and case-control studies
• Semiparametric Methods for Response-Selective and Missing Data Problems in Regression
• Maximum Likelihood Inference from Sample Survey Data
• Weighting in survey analysis under informative sampling
• An Estimated Likelihood Method for Continuous Outcome Regression Models With Outcome-Dependent Sampling

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