Overrating Classifier Performance in ROC Analysis in the Absence of a Test Set: Evidence from Simulation and Italian CARATkids Validation

BACKGROUND: The use of receiver operating characteristic curves, or "ROC analysis," has become quite common in biomedical research to support decisions. However, sensitivity, specificity, and misclassification rates are still often estimated using the training sample, overlooking the risk...

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Bibliographic Details
Main Author: Cilluffo, G (author)
Other Authors: Fasola, SJ (author), Ferrante, G (author), Montalbano, L (author), Baiardini, I (author), Indinnimeo, L (author), Viegi, G (author), Fonseca, JA (author), La Grutta, S (author)
Format: article
Language:eng
Published: 2020
Subjects:
Online Access:http://hdl.handle.net/10400.26/31738
Country:Portugal
Oai:oai:comum.rcaap.pt:10400.26/31738