Sensitivity Analysis | Statistics

This lesson we learn:
- Sensitivity and specificity: Quantifying whether tests for diseases are any good
- Predictive value: If you test positive/negative, what are your chances?
- Cutoffs and ROCs: Sensitivity vs. specifity, cutoff selection, and ROC curves
- Prevalence: How rare a disease is, and how it affects PPV and NPV

Positive predictive value (PPV), negative predictive value (NPV)
Receiver operating characteristic (ROC) curves
A rare disease has a prevalence near 0.
The more common a disease, the greater the prevalence.

Sensitivity and Specificity - Sensitivity Analysis | Statistics: 

Predictive value - Sensitivity Analysis | Statistics: 

Cutoffs and ROCs - Sensitivity Analysis | Statistics: 

Prevalence - Sensitivity Analysis | Statistics: