Compare diagnostic tests using transformation-invariant smoothed ROC curves

DOI10.1016/j.jspi.2010.05.026zbMath1205.62186OpenAlexW2085848287WikidataQ35982413 ScholiaQ35982413MaRDI QIDQ989284

Pang Du, Chengqing Wu, Liansheng Larry Tang

Publication date: 19 August 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3358774

zbMATH Keywords

bootstrapsmoothing splineROC curve

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (2)

A new method of kernel-smoothing estimation of the ROC curve ⋮ Confidence interval estimation of an ROC curve: an application of generalized half normal and Weibull distributions

Uses Software

• gss
• bootlib

Cites Work

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• A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data
• Smoothing Spline Gaussian Regression: More Scalable Computation via Efficient Approximation
• Smoothing spline ANOVA models

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