Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test

From MaRDI portal
Publication:5313528

DOI10.1093/biostatistics/kxh009zbMath1069.62087OpenAlexW2159580078WikidataQ51987020 ScholiaQ51987020MaRDI QIDQ5313528

Tianxi Cai, Chaya S. Moskowitz

Publication date: 1 September 2005

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxh009




Related Items (22)

REVIEW AND LIMITATIONS OF METHODS FOR CONSTRUCTING A RECEIVER OPERATING CHARACTERISTIC CURVE IN A CASE-CONTROL DESIGNA direct method to evaluate the time‐dependent predictive accuracy for biomarkersTesting the equality of diagnostic effectiveness of one measure with respect to k different featuresSemiparametric transformation models for multiple continuous biomarkers in ROC analysisModelling receiver operating characteristic curves using Gaussian mixturesTwo simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curveCovariate adjustment in continuous biomarker assessmentModel-free posterior inference on the area under the receiver operating characteristic curveA framework for covariate-specific ROC curve estimation, with application to biometric recognitionConfidence intervals and bands for the binormal ROC curve revisitedComparison of semiparametric, parametric, and nonparametric ROC analysis for continuous diagnostic tests using a simulation study and acute coronary syndrome dataBayesian ROC curve estimation under binormality using an ordinal category likelihoodPowerful nonparametric statistics to compare k independent ROC curvesMinimum-norm estimation for a bi-exponential survival modelEstimation of the ROC curve from the Lehmann familyBayesian ROC curve estimation under binormality using a rank likelihoodMultivariate binormal mixtures for semi-parametric inference on ROC curvesNonparametric estimation of the ROC curve based on smoothed empirical distribution functionsComparing correlated ROC curves for continuous diagnostic tests under density ratio modelsA Parametric ROC Model‐Based Approach for Evaluating the Predictiveness of Continuous Markers in Case–Control StudiesMinimum distance estimation of the binormal ROC curveEstimation of reliability from a bivariate log-normal data







This page was built for publication: Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test