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Georgia Southern Examines the Overlap Measure as Alternative to Youden Index

The receiver operating characteristic (ROC) curve is frequently used to evaluate and compare diagnostic tests. As one of the ROC summary indices, the Youden index measures the effectiveness of a diagnostic marker and enables the selection of an optimal threshold value (cut‐off point) for the marker. Recently, the overlap coefficient, which captures the similarity between 2 distributions directly, has been considered as an alternative index for determining the diagnostic performance of markers. In this case, a larger overlap indicates worse diagnostic accuracy, and vice versa.

This paper provides a graphical demonstration and mathematical derivation of the relationship between the Youden index and the overlap coefficient and states their advantages over the most popular diagnostic measure, the area under the ROC curve. Furthermore, we outline the differences between the Youden index and overlap coefficient and identify situations in which the overlap coefficient outperforms the Youden index. Numerical examples and real data analysis are provided.

Notes on the overlap measure as an alternative to the Youden index: How are they related?,” was recently published in Statistics in Medicine.

Dr. Hani Samawi, professor of biostatistics at the Jiann-Ping Hsu College of Public Health Georgia Southern University (JPHCOPH), was the lead author. JPHCOPH’s Dr. Jingjing Yin, assistant professor of biostatistics, Dr. Haresh Rochani, assistant professor of biostatistics, and Viral Panchal, alumni, were co-authors.

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Posted in Biostatistics, JPHCOPH, JPHCOPH