The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Classification accuracy and cut point selection
Abstract
In biomedical research and practice, quantitative tests or biomarkers are often used for diagnostic or screening purposes, with a cut point established on the quantitative measurement to aid binary classification. This paper introduces an alternative to the traditional methods based on the Youden index and the closest‐to‐(0, 1) criterion for threshold selection. A concordance probability evaluating the classification accuracy of a dichotomized measure is defined as an objective function of the possible cut point. A nonparametric approach is used to search for the optimal cut point maximizing the objective function. The procedure is shown to perform well in a simulation study. Using data from a real‐world study of arsenic‐induced skin lesions, we apply the method to a measure of blood arsenic levels, selecting a cut point to be used as a warning threshold. Copyright © 2012 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Hanley, J. A., & McNeil, B. J. (1982) · Radiology · doi:10.1148/radiology.143.1.7063747 · Cited by 21,856
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230
Wand, M. P., & Jones, M. C. (1995) · Springer eBooks · doi:10.1007/978-1-4899-4493-1 · Cited by 2,663
Estimation of the Youden Index and its Associated Cutoff Point
Fluss, R., Faraggi, D., & Reiser, B. (2005) · Biometrical Journal · doi:10.1002/bimj.200410135 · Cited by 2,608
The Statistical Evaluation of Medical Tests for Classification and Prediction
Pepe, M. S. (2003) · doi:10.1093/oso/9780198509844.001.0001 · Cited by 2,198
Perkins, N. J., & Schisterman, E. F. (2006) · American Journal of Epidemiology · doi:10.1093/aje/kwj063 · Cited by 1,759
Ruopp, M. D., Perkins, N. J., Whitcomb, B. W., & Schisterman, E. F. (2008) · Biometrical Journal · doi:10.1002/bimj.200710415 · Cited by 1,320
Schisterman, E. F., Perkins, N. J., Liu, A., & Bondell, H. (2005) · Epidemiology · doi:10.1097/01.ede.0000147512.81966.ba · Cited by 1,185
Statistical Methods in Diagnostic Medicine
Zhou, X., Obuchowski, N. A., & McClish, D. K. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9780470317082 · Cited by 1,165
ROC Curves for Continuous Data
Krzanowski, W. J., & Hand, D. J. (2009) · Chapman & Hall/CRC eBooks · doi:10.1201/9781439800225 · Cited by 666
Cited by
Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach
Unal, I. (2017) · Computational and Mathematical Methods in Medicine · doi:10.1155/2017/3762651 · Cited by 789
Mielke, M. M., Hagen, C. E., Xu, J., Chai, X., Vemuri, P., Lowe, V. J., Airey, D. C., Knopman, D. S., Roberts, R. O., Machulda, M. M., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.013 · Cited by 621
Duration of American Football Play and Chronic Traumatic Encephalopathy
Mez, J., Daneshvar, D. H., Abdolmohammadi, B., Chua, A. S., Alosco, M. L., Kiernan, P. T., Evers, L., Marshall, L., Martin, B. M., Palmisano, J. N., et al. (2020) · Annals of Neurology · doi:10.1002/ana.25611 · Cited by 271
Hassanzad, M., & Hajian-Tilaki, K. (2024) · BMC Medical Research Methodology · doi:10.1186/s12874-024-02198-2 · Cited by 208
Hoffman, G. M., Ghanayem, N. S., Scott, J. P., Tweddell, J. S., Mitchell, M. E., & Mussatto, K. A. (2017) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2016.09.100 · Cited by 123
Metadata
- Authors
- Liu, X.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 2012-02-03
- Volume
- 31
- Issue
- 23
- Pages
- 2676-2686
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2125833000
- Cited by
- 676
- References
- 18
- FWCI
- 4.19
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Classification accuracy and cut point selection. https://app.cochat.ai/papers/10.1002/sim.4509
- The paper
- Liu, X. (2012). Classification accuracy and cut point selection. Statistics in Medicine. https://doi.org/10.1002/sim.4509
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
