Clinical Test Performance

The test calculate the performance of a clinical test based on the Bayes theorem

Description

This function calculate the performance, based on Bayes theorem, of a clinical test. The input is based on a 2x2 matrix (true positive, false positives; false negative, true negatives).

The Outputs are:
- Prevalence of disease
- Test Sensibility with 95% confidence interval
- Test Specificity with 95% confidence interval
- False positive and negative proportions
- Youden's Index
- Precision or Positive predictivity with 95% confidence interval
- Negative predictivity with 95% confidence interval
- Positive and Negative Likelihood Ratio
- F-Measure
- Test Accuracy or Potency
- Mis-classification Rate
- Error odds ratio
- Diagnostic odds ratio
- Discriminant Power
- Test bias
- Number needed to Diagnose (NDD)

Moreover, the function draws two plots (as you can see in the screenshot)

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• MATLAB release: MATLAB 7.6 (R2008a)

[[e-mail] mihai]

 

[Jan Simon]

Exhaustively commented, so you get not only the resulting numbers, but also the exact description of what they mean, if you read the source.

[Benjamin]

 

[Benjamin]

Isn't 1-spec equal to false positive rate? I think this is backward on the output partest and roseplot figures (red should be false positive, and yellow should be false negative). In the code it seems like these values (fp1 and fp2) are used correctly throughout and just mis-labelled on the output graphs. Would you mind confirming this? As always, thanks for the excellent code. The comments in this one are really great and I learned a ton going through it.

[Giuseppe Cardillo]

You are right, but fp1 and fp2 were swapped also into the routine. I have just uploaded a new version of partest. Thank you

[Dag Nyman]

When tying to open the m file, only the textversion comes up. Not the useful diagram. Solution?

[Giuseppe Cardillo]

This is not very clear... Precisely what did you mean? If you open an m.file you always have a text version. To have the plots (did you mean plot when you wrote diagram?) you must run partest on MatLab

[Shu]