Estimation of the Youden Index and its Associated Cutoff Point

By Ronen Fluss, David Faraggi, Benjamin Reiser. Biometrical journal. Biometrische Zeitschrift, 2005

2,482 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4f25f7cd8f8cc84a1e15c486c036d88bed6ec250

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Citations in the corpus

Classification accuracy and cut point selection (2012, methodology): “In contrast, nonparametric procedures such as the empirical method and the kernel method estimate the Youden index and the optimal cut point without modeling the conditional distributions [5].”
Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach (2017, methodology): “When the value of J is maximum, cJ is the “optimal” cutpoint value [6, 7].”
cutpointr: Improved Estimation and Validation of Optimal Cutpoints in R (2020, methodology): “To overcome the former problem, more robust methods to estimate optimal cutpoints have been developed (Fluss, Faraggi, and Reiser 2005; Leeﬂang, Moons, Reitsma, and Zwinderman 2008).”
A re‐examination of Montreal Cognitive Assessment (MoCA) cutoff scores (2018, background): “…between categorical assignment, phi, a measure of binomial effect size, and Youden index, an estimate of the optimal threshold at which true positives (sensitivity) are maximized and false positives (1 specificity) are minimized, uninfluenced by prevalence rates (Fluss et al., 2005; Youden, 1950).”
A Basic Guide to Real Time PCR in Microbial Diagnostics: Definitions, Parameters, and Everything (2017, background): “This last index was defined as J = sensitivity + specificity −1 (Fluss et al., 2005).”
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge (2017, methodology): “value for classification was estimated by using the Youden index J [53], [54], which is defined as”
Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation. (2013, methodology): “ROC curve analysis has several advantages (31-36).”
Understanding diagnostic tests 3: receiver operating characteristic curves (2007, methodology): “Two methods for identifying optimal cut-off points using sensitivity, specificity and the ROC curve are commonly used (12,13).”