Using entropy distance measures for testing odds ratio parameters under logistic regression models based on case-control data

DOI10.1016/J.STAMET.2006.11.007zbMath1248.62093OpenAlexW2064685685MaRDI QIDQ713777

Biao Zhang

Publication date: 19 October 2012

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2006.11.007

zbMATH Keywords

consistencybiased sampling problemKullback-Leibler entropydensity ratiolocal alternativechi-squaredmixture samplingdivergence distanceentropy distanceprospective data

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Hypothesis testing in multivariate analysis (62H15) Generalized linear models (logistic models) (62J12) Statistical aspects of information-theoretic topics (62B10)

Cites Work

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• Empirical distributions in selection bias models
• Large sample theory of empirical distributions in biased sampling models
• Nonparametric estimation in the presence of length bias
• Empirical likelihood in biased sample problems
• An information matrix test for logistic regression models based on case-control data
• Logistic disease incidence models and case-control studies
• Maximum likelihood estimation in semiparametric selection bias models with application to AIDS vaccine trials
• A goodness-of-fit test for logistic regression models based on case-control data
• M‐estimation Under a Two‐Sample Semiparametric Model
• On robust estimation in logistic case-control studies

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