Fitting regression models with response-biased samples

DOI10.1002/CJS.10114zbMath1234.62043OpenAlexW1989245390MaRDI QIDQ3174230

Chris Wild, Alastair J. Scott

Publication date: 12 October 2011

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.10114

zbMATH Keywords

response-selective samplingestimating equationsconditional maximum likelihoodweighted estimationsemiparametric efficient methods

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05) Sampling theory, sample surveys (62D05)

Related Items (10)

Discussions ⋮ Optimal Probability Weights for Inference With Constrained Precision ⋮ Bayesian sensitivity analyses for hidden sub-populations in weighted sampling ⋮ Empirical and conditional likelihoods for two‐phase studies ⋮ Generalized case‐control sampling under generalized linear models ⋮ Maximum likelihood estimation for outcome‐dependent samples ⋮ Improving estimation efficiency for two-phase, outcome-dependent sampling studies ⋮ Reducing estimation bias in adaptively changing monitoring networks with preferential site selection ⋮ Comparison of multiple imputation and two-phase logistic regression to analyse two-phase case–control studies with rich phase 1: a simulation study ⋮ Weighting in the regression analysis of survey data with a cross-national application

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