Semiparametric ROC surface estimation for continuous diagnostic tests via polytomous logistic regression procedures

DOI10.1080/00949655.2012.684096zbMath1453.62746OpenAlexW1991337707MaRDI QIDQ5218942

Biao Zhang, Shuwen Wan

Publication date: 6 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2012.684096

zbMATH Keywords

empirical likelihoodROC curveROC surfacedensity ratio modelsemiparametric likelihoodpolytomous logistic regression

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12)

Related Items (1)

Using proportional odds models for semiparametric ROC surface estimation

Cites Work

• Empirical likelihood ratio confidence regions
• Comparing correlated ROC curves for continuous diagnostic tests under density ratio models
• Empirical likelihood and general estimating equations
• Prospective and retrospective analyses under logistic regression models
• Using logistic regression procedures for estimating receiver operating characteristic curves
• Transformations of the explanatory variables in the logistic regression model for binary data
• Empirical likelihood ratio confidence intervals for a single functional
• A goodness-of-fit test for logistic regression models based on case-control data
• ROC SURFACE: A GENERALIZATION OF ROC CURVE ANALYSIS
• A Semiparametric Approach to the One-Way Layout
• Comparison of ROC Umbrella Volumes with an Application to the Assessment of Lung Cancer Diagnostic Markers
• ROC Graphs for Assessing the Ability of a Diagnostic Marker to Detect Three Disease Classes with an Umbrella Ordering

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