Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design with a Continuous Outcome

DOI10.1111/J.1541-0420.2010.01446.XzbMath1217.62200OpenAlexW4300628526WikidataQ33932813 ScholiaQ33932813MaRDI QIDQ3008878

Rui Song, Jing Qin, Yuan Shan Wu, Haibo Zhou

Publication date: 22 June 2011

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4106685

zbMATH Keywords

sample sizetwo-stage designempirical likelihoodbiased samplingoutcome dependent

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (10)

Empirical likelihood inference and goodness-of-fit test for logistic regression model under two-phase case-control sampling ⋮ Recent progresses in outcome-dependent sampling with failure time data ⋮ Hypothesis testing in outcome-dependent sampling design under generalized linear models ⋮ Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data ⋮ Logistic regression analysis of two‐phase studies using generalized method of moments ⋮ Empirical and conditional likelihoods for two‐phase studies ⋮ Analysis of an outcome-dependent enriched sample: hypothesis tests ⋮ Statistical inference methods and applications of outcome-dependent sampling designs under generalized linear models ⋮ Outcome-dependent sampling with interval-censored failure time data ⋮ Regression analysis for a summed missing data problem under an outcome-dependent sampling scheme

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