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ROC curve analysis

File:
ROC curve analysis

Variables

Variable:
Classification:
Filter:

Methodology

Standard Error of AUC: 
 Binomial exact Confidence Interval for AUC

Disease prevalence

 Equal to ratio of positive and negative cases

or, equal to: 

Options

 List criterion values with test characteristics
Include:
 Sensitivity/specificity
 95% CI
 Likelihood ratios
 95% CI
 Predictive values
 95% CI
 Calculate optimal criterion value taking into account costs:
FPc:
 FNc:
 
TPc:
 TNc:

Graph

 Create graph
 Mark points corresponding to criterion values
 Include 95% Confidence Bounds
Recall procedure
Save procedure
Graph options
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