Estimate sensitivity, specificity, positive predictive value, negative predictive value and prevalence from data in the 2 x 2 table for an infectious disease and its diagnostic test. The image shows a table and a question related to sensitivity in a medical testing context.### Table:| Status | Disease Present | Disease Absent | Marginal Total ||----------------|-----------------|----------------|----------------|| Test Positive | 57 | 4 | 61 || Test Negative | 43 | 96 | 139 || Marginal Total | 100 | 100 | 200 |### Question:1. **Sensitivity**Options:- ○ 57%- ○ 93%- ○ 69%- ○ 96%- ○ 50%**Explanation:**- **Sensitivity** measures the proportion of actual positives correctly identified by the test. - It is calculated as: \( \text{Sensitivity} = \frac{\text{True Positives}}{\text{Condition Positive}} = \frac{57}{100} = 57\% \).Therefore, the correct answer to the question is 57%.

Answered: Estimate sensitivity, specificity,…

Estimate sensitivity, specificity, positive predictive value, negative predictive value and prevalence from data in the 2 x 2 table for an infectious disease and its diagnostic test.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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