positive predictive value (PPV)
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Introduction
Predictive value of a positive test (PVP)
true positives / (true positives + false positives)
The proportion of persons with a positive test who have the condition or disease.
(p x s) / ((p x s) + ((1 - p) x (1 - s)))
where p = prevalence & s = sensitivity
As the prevalence of a disease increases, so does the positive predictive value.[2]
(p x s) / ((p x s) + ((1 - p) x (1 - s)))
where p = prevalence & s = sensitivity
As the prevalence of a disease increases, so does the positive predictive value.[2]
Additional terms
References
- ↑ Harrison's Principles of Internal Medicine, 14th ed. Fauci et al (eds), McGraw-Hill Inc. NY, 1998, pg 502
- ↑ Jump up to: 2.0 2.1 2.2 Medical Knowledge Self Assessment Program (MKSAP) 14, 16, 17, 19. American College of Physicians, Philadelphia 2006, 2012, 2015, 2021
- ↑ Armstrong KA, Metlay JP. Annals Clinical Decision Making: Using a Diagnostic Test. Ann Intern Med. 2020 May 5;172(9):604-609 PMID: https://www.ncbi.nlm.nih.gov/pubmed/32311733