How are negative predictive value and positive predictive value calculated?

Negative predictive value (NPV) and positive predictive value (PPV) are important measures used in diagnostic tests to assess the effectiveness of correctly identifying a particular condition. NPV is calculated by dividing the number of true negative results (individuals who test negative and are actually disease-free) by the sum of true negatives and false negatives (individuals who test negative but are actually positive). On the other hand, PPV is calculated by dividing the number of true positive results (individuals who test positive and are actually positive) by the sum of true positives and false positives (individuals who test positive but are actually negative). These values help to determine the reliability and accuracy of a diagnostic test by quantifying how likely it is to correctly identify the absence or presence of a specific condition.

This mind map was published on 7 August 2023 and has been viewed 107 times.