Classifying binormal diagnostic tests using separation-asymmetry diagrams with constant-performance curves.
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Probabilistic analysis of global performances of diagnostic tests: interpreting the Lorenz curve-based summary measures.Statistical techniques for evaluating the diagnostic utility of laboratory tests.Interval of Uncertainty: An Alternative Approach for the Determination of Decision Thresholds, with an Illustrative Application for the Prediction of Prostate CancerResampling techniques in the analysis of non-binormal ROC data.
P2860
Classifying binormal diagnostic tests using separation-asymmetry diagrams with constant-performance curves.
description
1994 nî lūn-bûn
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1994年の論文
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1994年学术文章
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1994年学术文章
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1994年学术文章
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1994年学术文章
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1994年学术文章
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1994年学术文章
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1994年學術文章
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1994年學術文章
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name
Classifying binormal diagnosti ...... h constant-performance curves.
@en
Classifying binormal diagnosti ...... h constant-performance curves.
@nl
type
label
Classifying binormal diagnosti ...... h constant-performance curves.
@en
Classifying binormal diagnosti ...... h constant-performance curves.
@nl
prefLabel
Classifying binormal diagnosti ...... h constant-performance curves.
@en
Classifying binormal diagnosti ...... h constant-performance curves.
@nl
P2860
P1476
Classifying binormal diagnosti ...... h constant-performance curves.
@en
P2093
P2860
P304
P356
10.1177/0272989X9401400208
P577
1994-04-01T00:00:00Z