We tackle estimation of receiver operating characteristic (ROC) surfaces and selection of the optimal pair of thresholds for continuous diagnostic tests given covariates in clustered data when the disease status is described by three ordinal classes. The approach is based on a linear mixed-effect model which accounts for both the clusters and the covariates effects. The asymptotic properties of estimators are studied. Simulation studies are performed to assess the performance of estimators.

Selecting optimal thresholds in ROC analysis with clustered data

Monica Chiogna
2020

Abstract

We tackle estimation of receiver operating characteristic (ROC) surfaces and selection of the optimal pair of thresholds for continuous diagnostic tests given covariates in clustered data when the disease status is described by three ordinal classes. The approach is based on a linear mixed-effect model which accounts for both the clusters and the covariates effects. The asymptotic properties of estimators are studied. Simulation studies are performed to assess the performance of estimators.
Book of short papers SIS 2020
803
808
Duc Khanh To, Gianfranco Adimari, Monica Chiogna
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/779979
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