Youden Index and Optimal Cut‐Point Estimated from Observations Affected by a Lower Limit of Detection

By Marcus D. Ruopp, Neil Perkins, B. Whitcomb, Enrique F. Schisterman. Biometrical journal. Biometrische Zeitschrift, 2008

1,222 citations recorded by the source corpus.

Subfields: Genetics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c0e152aa4d51797782f1d263195c78feda2fb6cc

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In Genetics

Xinhua Liu

In Statistics and Probability

Citations in the corpus

Polypharmacy cutoff and outcomes: five or more medicines were used to identify community-dwelling older men at risk of different adverse outcomes. (2012, background): “The Youden Index, a common summary measure of the ROC curve, represents the maximum potential effectiveness of a marker [33].”
Classification accuracy and cut point selection (2012, methodology): “Recently, the Youden index-based method of cut point selection has been extended to accommodate various cases including a pooled sample [10], a biomarker subject to measurement error [11], cases where the observations are affected by a lower limit of detection [12], or where a marker has mass at zer”
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation (2021, methodology): “Youden’s index is often used to determine the optimal threshold τ for the confusion matrix [39–41].”
TFOS DEWS II Diagnostic Methodology report. (2017, methodology): “variety of valid, statistical risk models that can be used to choose an optimal cut-off, for example, maximizing the ratio of true positives to false positives, receiver operator characteristic apex, etc, [5] clinical risk should supersede purely statistical methods when relying on a small number of”
Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection (2026, unknown): “During evaluation, the threshold that maximizes Youden’s J-index (Ruopp et al., 2008) was used.”