Empirical and weighted conditional likelihoods for matched case-control studies with missing covariates

DOI10.1016/J.JMVA.2013.04.010zbMath1277.62265OpenAlexW1996384217MaRDI QIDQ391680

Yuanzhang Li, Zhaohai Li, Tianqing Liu, Xiaohui Yuan

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.2013.04.010

zbMATH Keywords

empirical likelihoodconditional logistic regressionmatched case-control designmissing covariatesweighted conditional likelihood

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12) Nonparametric tolerance and confidence regions (62G15)

Related Items (4)

Weighted quantile regression with missing covariates using empirical likelihood ⋮ Handling missing data in matched case‐control studies using multiple imputation ⋮ Empirical likelihood-based weighted rank regression with missing covariates ⋮ Weighted empirical likelihood for quantile regression with non ignorable missing covariates

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