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Reliable and computationally efficient maximum-likelihood estimation of “proper” binormal ROC curves

RATIONALE AND OBJECTIVES: Estimation of ROC curves and their associated indices from experimental data can be problematic, especially in multi-reader, multi-case (MRMC) observer studies. Wilcoxon estimates of area under the curve (AUC) can be strongly biased with categorical data, whereas the conven...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Pesce, Lorenzo L., Metz, Charles E.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2007
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC2693394/
https://ncbi.nlm.nih.gov/pubmed/17574132
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.acra.2007.03.012
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