A semiparametric hypothesis testing procedure for the ROC curve area under a density ratio model

DOI10.1016/j.csda.2005.02.001zbMath1445.62302OpenAlexW2009176340MaRDI QIDQ959279

Biao Zhang

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2005.02.001

zbMATH Keywords

Gaussian processpowerWald testmaximum likelihoodROC curvelogistic regression modellocal alternativechi-squaredbinormal modeldensity ratio model

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12)

Related Items (3)

Making classifier performance comparisons when ROC curves intersect ⋮ Three-group ROC analysis: a nonparametric predictive approach ⋮ Comparing correlated ROC curves for continuous diagnostic tests under density ratio models

Uses Software

• bootstrap

Cites Work

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• Two transformation models for estimating an ROC curve derived from continuous data
• An Interpretation for the ROC Curve and Inference Using GLM Procedures
• Semiparametric inference for a quantile comparison function with applications to receiver operating characteristic curves

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