Small-sample precision of ROC-related estimates

Motivation: The receiver operator characteristic (ROC) curves are commonly used in biomedical applications to judge the performance of a discriminant across varying decision thresholds. The estimated ROC curve depends on the true positive rate (TPR) and false positive rate (FPR), with the key metric...

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Veröffentlicht in:	Bioinformatics 2010-03, Vol.26 (6), p.822-830
Hauptverfasser:	Hanczar, Blaise, Hua, Jianping, Sima, Chao, Weinstein, John, Bittner, Michael, Dougherty, Edward R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biological and medical sciences False Positive Reactions Fundamental and applied biological sciences. Psychology General aspects Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Oligonucleotide Array Sequence Analysis Pattern Recognition, Automated - methods ROC Curve
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