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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
- Matthews Correlation Coefficient
- Number needed to Diagnose (NDD)
- Discriminant Power
- Test Accuracy
- Mis-classification Rate
- Positive predictivity
- Negative predictivity
- Positive Likelihood Ratio
- Negative Likelihood Ratio
- Test bias
- Diagnostic odds ratio
- Error odds ratio-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
- Matthews Correlation Coefficient
- Number needed to Diagnose (NDD)
- Discriminant Power
- Test Accuracy
- Mis-classification Rate
- Positive predictivity
- Negative predictivity
- Positive Likelihood Ratio
- Negative Likelihood Ratio
- Test bias
- Diagnostic odds ratio
- Error odds ratio
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Size: 3072 |
Author: Rafal |
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