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Constructing "proper" ROCs from ordinal response data using weighted power functions.Using Dual Beta Distributions to Create "Proper" ROC Curves Based on Rating Category Data.ROC Estimation from Clustered Data with an Application to Liver Cancer Data.Meta-analysis and meta-modelling for diagnostic problemsNon-small cell lung cancer is characterized by dramatic changes in phospholipid profiles.Smooth ROC curves and surfaces for markers subject to a limit of detection using monotone natural cubic splines.
P2860
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
Lehmann family of ROC curves.
@en
type
label
Lehmann family of ROC curves.
@en
prefLabel
Lehmann family of ROC curves.
@en
P2860
P356
P1476
Lehmann family of ROC curves.
@en
P2093
Glenn Heller
Mithat Gönen
P2860
P304
P356
10.1177/0272989X09360067
P50
P577
2010-03-30T00:00:00Z