Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/127247
Title: | ThresholdROC: optimum threshold estimation tools for continuous diagnostic tests in R |
Author: | Pérez Jaume, Sara Skaltsa, Konstantina Pallarès, Natàlia Carrasco Jordan, Josep Lluís |
Keywords: | Estimació d'un paràmetre Diagnòstic R (Llenguatge de programació) Parameter estimation Diagnosis R (Computer program language) |
Issue Date: | 29-Nov-2017 |
Publisher: | Foundation for Open Access Statistics |
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. |
Note: | Reproducció del document publicat a: https://doi.org/10.18637/jss.v082.i04 |
It is part of: | Journal of Statistical Software, 2017, vol. 82, num. 4, p. v082 |
URI: | http://hdl.handle.net/2445/127247 |
Related resource: | https://doi.org/10.18637/jss.v082.i04 |
ISSN: | 1548-7660 |
Appears in Collections: | Articles publicats en revistes (Fonaments Clínics) Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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