Binary response models with \(M\)-phase case-control data

DOI10.1016/J.JMVA.2013.01.002zbMath1277.62110OpenAlexW1999200801MaRDI QIDQ391555

Chin-Tsang Chiang, Ming-Yueh Huang, Ren-Hong Bai

Publication date: 10 January 2014

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2013.01.002

zbMATH Keywords

bootstrapcross-validationmissing datasingle-index\(M\)-phase case-control designaccuracy measurepseudo least squares estimatorpseudo maximum likelihood estimatorselection probability

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05)

Cites Work

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• U-processes: Rates of convergence
• Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
• Efficient estimation in multi-phase case-control studies
• Model checking in regression via dimension reduction
• Logistic disease incidence models and case-control studies
• Fitting prospective regression models to case-control data
• Fitting regression models to case-control data by maximum likelihood
• An Efficient Semiparametric Estimator for Binary Response Models
• The Limiting Distribution of the Maximum Rank Correlation Estimator
• Maximum Likelihood Inference On A Mixed Conditionally and Marginally Specified Regression Model for Genetic Epidemiologic Studies with Two-Phase Sampling
• Separate sample logistic discrimination
• Improving the Efficiency of Relative-Risk Estimation in Case-Cohort Studies
• Convergence of stochastic processes

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