M.H. Zweig and G. Campbell. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39:561--577, 1993.  Home/Search Document Not in Database Summary Related Articles Check |
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Knowing What You Don't Know: Roles for Confidence Measures in.. - Williams (1999) (4 citations) (Correct)
.... distribution of test statistic values f(x) conditioned on a particular state of nature can be plotted, schematically illustrated in 3 If the detection and FA rates cover the range [0,1] this area is equivalent to the value of the Mann Whitney version of the non parametric two sample statistic [219] and has a value equal to 1.0 for an ideal hypothesis test and has a value equal to 0.5 for a guessing test. For a one tailed test where a high test statistic value is indicative of true(H 0 ) the area is equal to the probability that an hypothesis drawn at random from the set true(H 0 ) has a ....
M. H. Zweig and G. Cambell. Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39(4):551--577, 1993. 111
Sequence Matching in Homology Modeling - Michael Gribskov (Correct)
....database release 28.0 [9] which contains 1.25x10 7 residues in 36,000 sequences. 2.2. Receiver Operating Characteristic (ROC) The receiver operating characteristic is widely used in clinical fields to evaluate both treatments and the predictive success of clinical tests (for a review see [10]) It is the latter use that concerns us here. An example of a clinical use of ROC analysis might be to evaluate the success of a test, for instance serum cholesterol level, in predicting the future presence of a disease condition, for instance heart attack. In this case, the easily performed test ....
MH Zweig and G Campbell, Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine, Clinical Chemistry, 39, 561-77 (1993).
A Study of the Use and Evaluation of Confidence Measures in.. - Williams (1998) (2 citations) (Correct)
....it can be noted that the perpendicular distance, d, between these two lines has the property: d = p 1 Gamma 2 : 2. 11) 2 If the detection rate and FA rate cover the range [0,1] this area is equivalent to the value of the Mann Whitney version of the non parametric two sample statistic [65] and has a value equal to 1.0 for a perfect hypothesis test and has a value equal to 0.5 for a guessing test. In the case of a Frequencist test, where a high test statistic value is indicative of true(H 0 ) the value of this area is equal to the probability that an hypothesis drawn at random from ....
M.H. Zweig and G. Cambell. Reciever-operating characteristic (roc) plots: A fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39(4):551--577, 1993.
Multi-Class ROC Analysis from a . . . - Everson (2005) Self-citation (Roc) (Correct)
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M.H. Zweig and G. Campbell. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39:561--577, 1993.
Statistical Validation Based on Parametric.. - Zou, Warfield.. Self-citation (Operating) (Correct)
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Zweig MH, Campbell G. Receiver operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem 1993; 39:561--577.
Unknown - Bmc Genomics Doi (Correct)
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Zweig MH, Campbell G: Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem 1993, 39:56177.
Fair Evaluation Methods for Image Watermarking Systems - Kutter, Petitcolas (2000) (5 citations) (Correct)
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Mark H. Zweig and Gregory Campbell. Receiver{operating characteristics (ROC) plots: A fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39(4):561-577, 1993.
A Fair Benchmark for Image Watermarking Systems - Kutter, Petitcolas (1999) (33 citations) (Correct)
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Mark H. Zweig and Gregory Campbell. Receiver{operating characteristics (roc) plots: A fundamental evaluation tool in clinical medicine. Clinical Chemisitry, 39(4):561-577, 1993.
A Fair Benchmark for Image Watermarking Systems - Kutter, Petitcolas (1999) (33 citations) (Correct)
No context found.
Mark H. Zweig and Gregory Campbell. Receiver--operating characteristics (ROC) plots: A fundamental evaluation tool in clinical medicine. Clinical Chemisitry, 39(4):561--577, 1993.
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