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 Release 22.0, Sept. 2008
 
Chapter : ch39. Decisional Analysis Section : Performance Measures
  Discriminant Power for a Test (Test Effectiveness Statistic)

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Overview :

The discriminant power for a test, also termed the test effectiveness, is a measure of how well a test distinguishes between affected and unaffected persons. It is the log of the positive likelihood ratio plus the log of the negative likelihood ratio, scaled by the standard deviation of the logistic normal distribution curve (square root of 3 divided by π). Test effectiveness is interpreted as the standardized distance between the means for both populations.

 

discriminant power =

= (SQRT(3) / π) * (LN(X) + LN(Y))

 

X =

= ((sensitivity) / (1 - (sensitivity)))

 

Y =

= ((specificity) / (1 - (specificity)))

 

Interpretation:

• A test with a discriminant value of 1 is not effective in discriminating between affected and unaffected individuals.

• A test with a discriminant value of 3 is effective in discriminating between affected and unaffected individuals.

 

  References:

Baxt WG, Skora J. Prospective validation of artificial neural network trained to identify acute myocardial infarction. Lancet. 1996; 347: 12-15.

Blakeley DD, Oddone EZ, et al. Noninvasive carotid artery testing. Ann Intern Med. 1995; 122: 360-367.

 

 

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