Lora Pablos, DavidContador, IsraelPérez-Regadera Gómez, José FermínGómez De La Cámara, Agustín Ramón2025-01-232025-01-232016-03Lora, D. et al. (2016) “Features of the Area under the Receiver Operating Characteristic (ROC) Curve. A Good Practice,” The Stata Journal, 16(1), pp. 185–196. Available at: https://doi.org/10.1177/1536867X16016001151536-867X10.1177/1536867x1601600115https://hdl.handle.net/20.500.14352/115904The area under the receiver operating characteristic (ROC) curve is a measure of discrimination ability used in diagnostic and prognostic research. The ROC plot is usually represented without additional information about decision thresholds used to generate the graph. In our article, we show that adding at least one or more informative cutoff points on the ROC graph facilitates the characterization of the test and the evaluation of the discriminatory capacities, which can result in more informed medical decisions. We use the rocreg and rocregplot commands.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Features of the area under the receiver operating characteristic (ROC) curve. A good practicejournal article1536-8734https://journals.sagepub.com/doi/abs/10.1177/1536867X1601600115https://doi.org/10.1177/1536867X1601600115restricted access519.2:6161Cervix cancerDiagnostic testDiscriminationPrognostic modelsSt0430Receiver operating characteristic (ROC) curveArea under the ROC curveRo- cregRocregplotSoftware EstadísticoCiencias Biomédicas1209 Estadística32 Ciencias Médicas