References
- Andrich D. (1978). “A rating formulation for ordered response categories.” Psychometrika, 43(4): 561-573.10.1007/BF02293814
- Habibzadeh F., Habibzadeh P., and Yadollahie M. (2016). “On determining the most appropriate test cut-off value: the case of tests with continuous results.” Biochemia Medica. 26(3):297–307.10.11613/BM.2016.034508221127812299
- Liu X. (2012). “Classification accuracy and cut point selection.” Stat Med. 31:2676–286.
- Lopez-Raton M., Rodriguez-Alvarez M.X, Cadarso-Suarez C. and Gude-Sampedro F. (2014). “OptimalCutpoints: An R Package for Selecting Optimal Cutpoints in Diagnostic Tests.” Journal of Statistical Software 61(8):1-36.10.18637/jss.v061.i08
- Magis D. and Raiche G. (2012). “Random Generation of Response Patterns under Computerized Adaptive Testing with the R Package catR.” Journal of Statistical Software, 48(8), 1-31. doi:10.18637/jss.v048.i0810.18637/jss.v048.i08
- Miller R. and Siegmund D. (1982). “Maximally selected Chi square statistics.” Biometrics, 38:1011–1016.
- Pepe MS. (2003). “The Statistical Evaluation of Medical Tests for Classification and Prediction.” Oxford University Press: New York.
- Perkins N.J. and Schisterman E.F. (2006). “The inconsistency of optimal cutpoints obtained using two criteria based on the receiver operating characteristic curve.” Am. J. Epidemiol. 163:670–675.
- R Core Team (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
- Rota M. and Antolini L. (2014). “Finding the optimal cut-point for Gaussian and Gamma distributed biomarkers.” Computational Statistics & Data Analysis,69:1–14.
- Youden WJ. (1950). “Index for rating diagnostic tests.” Cancer, 3:32–35.
- Zhou X.H., Obuchowski N.A., and McClish D.K. (2011). “Statistical Methods in Diagnostic Medicine.” Wiley: New York10.1002/9780470906514