Estimating disease prevalence in two-phase studies
From MaRDI portal
Publication:5701211
DOI10.1093/biostatistics/4.2.313zbMath1141.62346OpenAlexW2105532114WikidataQ45289850 ScholiaQ45289850MaRDI QIDQ5701211
Margaret Sullivan Pepe, Thomas Lumley, Todd A. Alonzo
Publication date: 2 November 2005
Published in: Biostatistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biostatistics/4.2.313
ImputationSemiparametricDouble samplingVerification biasInverse probability weightingMean scoreSurrogate outcome
Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)
Related Items (10)
Prediction model-based kernel density estimation when group membership is subject to missing ⋮ Robust model-free feature screening for ultrahigh dimensional surrogate data ⋮ Confidence interval construction for disease prevalence based on partial validation series ⋮ Aggregative quantification for regression ⋮ Kernel smoothing density estimation when group membership is subject to missing ⋮ Semiparametric efficient estimation for the auxiliary outcome problem with the conditional mean model ⋮ Imputation Approaches for Estimating Diagnostic Accuracy for Multiple Tests from Partially Verified Designs ⋮ Efficient logistic regression designs under an imperfect population identifier ⋮ Inverse probability weighting estimation of the volume under the ROC surface in the presence of verification bias ⋮ Empirical likelihood confidence regions for the evaluation of continuous-scale diagnostic tests in the presence of verification bias
This page was built for publication: Estimating disease prevalence in two-phase studies