Semi-parametric efficiency bounds for regression models under response-selective sampling: the profile likelihood approach

DOI10.1007/s10463-008-0205-1zbMath1432.62046OpenAlexW1995484281MaRDI QIDQ907057

Yuichi Hirose, Alan Lee

Publication date: 1 February 2016

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-008-0205-1

zbMATH Keywords

information boundinfluence functioncase-control studyprofile likelihoodefficient scoresemi-parametric efficiencyoutcome-dependent samplingtangent space

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Related Items (8)

Fitting regression models with response-biased samples ⋮ Regression analysis of biased case-control data ⋮ Reparametrization of the least favorable submodel in semi-parametric multisample models ⋮ Efficiency of profile likelihood in semi-parametric models ⋮ On the semiparametric efficiency of the Scott-Wild estimator under choice-based and two-phase sampling ⋮ Methods for stratified cluster sampling with informative stratification ⋮ Reducing estimation bias in adaptively changing monitoring networks with preferential site selection ⋮ Likelihood‐based analysis of longitudinal data from outcome‐related sampling designs

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