Cargando…
Cumulative ROC curves for discriminating three or more ordinal outcomes with cutpoints on a shared continuous measurement scale
Cumulative receiver operator characteristic (ROC) curve analysis extends classic ROC curve analysis to discriminate three or more ordinal outcome levels on a shared continuous scale. The procedure combines cumulative logit regression with a cumulative extension to the ROC curve and performs as expec...
Autor principal: | deCastro, B. Rey |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716631/ https://www.ncbi.nlm.nih.gov/pubmed/31469848 http://dx.doi.org/10.1371/journal.pone.0221433 |
Ejemplares similares
-
Roc curves for continuous data
por: Krzanowski, Wojtek J, et al.
Publicado: (2009) -
ROC curve regression analysis: the use of ordinal regression models for diagnostic test assessment.
por: Tosteson, A N, et al.
Publicado: (1994) -
pROC: an open-source package for R and S+ to analyze and compare ROC curves
por: Robin, Xavier, et al.
Publicado: (2011) -
Suboptimal analysis using 'optimal' cutpoints.
por: Altman, D. G.
Publicado: (1998) -
Use of ROC curves in clinical and experimental studies
por: Polo, Tatiana Cristina Figueira, et al.
Publicado: (2020)