Medical diagnostic accuracy measures: an innovative approach based on the area under predictive values curves
Author:
Affiliation:
1. Department of Biostatistics, Epidemiology, and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, USA
Funder
no funding associated
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10543406.2024.2341663
Reference13 articles.
1. Evaluation of Cutoff Levels for Screening of Gastric Cancer Using Serum Pepsinogens and Distributions of Levels of Serum Pepsinogen I, II and of PG I / PG II Ratios in a Gastric Cancer Case-Control Study
2. A limitation of the diagnostic-odds ratio in determining an optimal cut-off value for a continuous diagnostic test
3. Dua D. and C. Graff (2019). UCI machine learning repository [Http: //Archive.Ics.uci.edu/Ml]. Irvine CA: University of California School of Information and Computer Science. https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(diagnostic).
4. Green, D. M., and J. A. Swets. 1966. SignaL detection theory and psychophysics. New York: Wiley.
5. Receiver Operating Characteristic (ROC) methodology: The State of the art;Hanley J. A.;Critical Reviews in Diagnostic Imaging,1989
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