Youden Index and Optimal Cut‐Point Estimated from Observations Affected by a Lower Limit of Detection
United States Department of Health and Human Services · National Institutes of Health
Abstract
The receiver operating characteristic (ROC) curve is used to evaluate a biomarker's ability for classifying disease status. The Youden Index (J), the maximum potential effectiveness of a biomarker, is a common summary measure of the ROC curve. In biomarker development, levels may be unquantifiable below a limit of detection (LOD) and missing from the overall dataset. Disregarding these observations may negatively bias the ROC curve and thus J. Several correction methods have been suggested for mean estimation and testing; however, little has been written about the ROC curve or its summary measures. We adapt non-parametric (empirical) and semi-parametric (ROC-GLM [generalized linear model]) methods and propose…
Citation impact
- FWCI
- 3.10
- Percentile
- 100%
- References
- 23
Authors
4- MDMarcus D. Ruopp
United States Department of Health and Human Services, National Institutes of Health
- NJNeil J. Perkins
United States Department of Health and Human Services, National Institutes of Health
- BWBrian W. Whitcomb
United States Department of Health and Human Services, National Institutes of Health
- EFEnrique F. SchistermanCorresponding
United States Department of Health and Human Services, National Institutes of Health
Topics & keywords
- Youden's J statistic
- Receiver operating characteristic
- Statistics
- Estimator
- Parametric statistics
- Mathematics
- Confidence interval
- Sample size determination
- Reduced inequalities