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2017-11-29

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cc-by (c) Perez Jaume, Sara et al., 2017
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/127247

ThresholdROC: optimum threshold estimation tools for continuous diagnostic tests in R

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https://doi.org/10.18637/jss.v082.i04

Abstract

We introduce an R package that estimates decision thresholds in diagnostic settings with a continuous marker and two or three underlying states. The package implements parametric and non-parametric estimation methods based on minimizing an overall cost function, as well as confidence interval estimation approaches to account for the sampling variability of the cut-off. Further features of the package include sample size determination and estimation of diagnostic accuracy measures. We used randomly generated data and two real datasets to illustrate the capabilities and characteristics of the package.

Subject

Estimació d'un paràmetre, Diagnòstic, R (Llenguatge de programació)

Subject (English)

Parameter estimation, Diagnosis, R (Computer program language)

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Articles publicats en revistes (Fonaments Clínics)
Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

Citation

PÉREZ JAUME, Sara, et al. ThresholdROC: optimum threshold estimation tools for continuous diagnostic tests in R. Journal of Statistical Software. 2017. Vol. 82, num. 4, pags. v082. ISSN 1548-7660. [consulted: 14 of August of 2026]. Available at: https://hdl.handle.net/2445/127247

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