Sensitivity measures how often a test correctly generates a positive result for people who have the condition that’s being tested for.
Sensitivity analysis is a method for predicting the outcome of a decision if a situation turns out to be different compared to the key predictions.
Formula to calculate sensitivity.
Example:
Suppose in a Covid 19 sample survey there was 2,000 positive test, the total true positive tests were 1,800 and 400 false negatives. Calculate the sensitivity.
Therefore, the sensitivity of the survey was 90.9%.
