Clinical Test Performance 1.0

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)

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Accuracy,  Diagnose,  Diagnostic,  Discriminant,  Draws,  Error,  Fmeasure,  Likelihood,  Misclassification,  Nddmoreover,  Needed,  Negative,  Plots,  Positive,  Potency,  Precision,  Predictivity,  Ratio,  Screenshot
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