Bayes theorem
(bāz)
[Thomas Bayes, Brit. mathematician, 1702-1761]
A statistical theorem concerned with analyzing the probability that a patient may have a specific condition after diagnostic testing. The theorem states that if a disease is very rare (the pretest probability is low), the patient is unlikely to have that condition even with a positive diagnostic test. Conversely, when the pretest probability of a specific condition is very high, a negative test result does not rule out the condition.
Citation
Venes, Donald, editor. "Bayes Theorem." Taber's Medical Dictionary, 24th ed., F.A. Davis Company, 2021. Nursing Central, nursing.unboundmedicine.com/nursingcentral/view/Tabers-Dictionary/749163/all/Bayes_theorem.
Bayes theorem. In: Venes DD, ed. Taber's Medical Dictionary. F.A. Davis Company; 2021. https://nursing.unboundmedicine.com/nursingcentral/view/Tabers-Dictionary/749163/all/Bayes_theorem. Accessed November 24, 2024.
Bayes theorem. (2021). In Venes, D. (Ed.), Taber's Medical Dictionary (24th ed.). F.A. Davis Company. https://nursing.unboundmedicine.com/nursingcentral/view/Tabers-Dictionary/749163/all/Bayes_theorem
Bayes Theorem [Internet]. In: Venes DD, editors. Taber's Medical Dictionary. F.A. Davis Company; 2021. [cited 2024 November 24]. Available from: https://nursing.unboundmedicine.com/nursingcentral/view/Tabers-Dictionary/749163/all/Bayes_theorem.
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