Information borrowing methods for covariate-adjusted ROC curve

DOI10.1002/cjs.11145zbMath1333.62275OpenAlexW2148558714MaRDI QIDQ2856558

Jing Qin, Zhong Guan, Biao Zhang

Publication date: 29 October 2013

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

Full work available at URL: https://doi.org/10.1002/cjs.11145

zbMATH Keywords

sensitivitybootstrapspecificitydiagnostic testlogistic regression modeldensity ratio modelsemiparametric likelihoodcovariate-adjusted ROC curve

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) General nonlinear regression (62J02) Nonparametric statistical resampling methods (62G09)

Related Items (3)

Semiparametric method for identifying multiple change-points in financial market ⋮ Semiparametric method for detecting multiple change points model in financial time series ⋮ The covariate-adjusted ROC curve: the concept and its importance, review of inferential methods, and a new Bayesian estimator

Uses Software

• R

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