Covariate-specific ROC curve analysis can accommodate differences between covariate subgroups in the evaluation of diagnostic accuracy-Reference-Cited by-同舟云学术

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Covariate-specific ROC curve analysis can accommodate differences between covariate subgroups in the evaluation of diagnostic accuracy

Published:2023-08 Issue: Volume:160 Page:14-23
ISSN:0895-4356
Container-title:Journal of Clinical Epidemiology
language:en
Short-container-title:Journal of Clinical Epidemiology

Author:

Lee Jenny^ORCID,van Es Nick^ORCID,Takada Toshihiko^ORCID,Klok Frederikus A.,Geersing Geert-Jan,Blume Jeffrey^ORCID,Bossuyt Patrick M.^ORCID

Publisher

Elsevier BV

Subject

Epidemiology

Reference35 articles.

1. Receiver operating characteristic (ROC) curves: review of methods with applications in diagnostic medicine;Obuchowski;Phys Med Biol,2018

2. Early-phase studies of biomarkers: what target sensitivity and specificity values might confer clinical utility?;Pepe;Clin Chem,2016

3. Adjusting for covariates in studies of diagnostic, screening, or prognostic markers: an old concept in a new setting;Janes;Am J Epidemiol,2008

4. The covariate-adjusted ROC curve: the concept and its importance, review of inferential methods, and a new Bayesian estimator;Inácio;Stat Sci,2022

5. Statistical evaluation of medical tests;Inácio;Ann Rev Stati Appl,2021

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