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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.

Bayes theorem is a sample topic from the Taber's Medical Dictionary.

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Citation

Venes, Donald, editor. "Bayes Theorem." Taber's Medical Dictionary, 23rd ed., F.A. Davis Company, 2017. Nursing Central, nursing.unboundmedicine.com/nursingcentral/view/Tabers-Dictionary/749163/all/Bayes_theorem.
Bayes theorem. In: Venes D, ed. Taber's Medical Dictionary. 23rd ed. F.A. Davis Company; 2017. https://nursing.unboundmedicine.com/nursingcentral/view/Tabers-Dictionary/749163/all/Bayes_theorem. Accessed July 21, 2019.
Bayes theorem. (2017). In Venes, D. (Ed.), Taber's Medical Dictionary. Available from https://nursing.unboundmedicine.com/nursingcentral/view/Tabers-Dictionary/749163/all/Bayes_theorem
Bayes Theorem [Internet]. In: Venes D, editors. Taber's Medical Dictionary. F.A. Davis Company; 2017. [cited 2019 July 21]. Available from: https://nursing.unboundmedicine.com/nursingcentral/view/Tabers-Dictionary/749163/all/Bayes_theorem.
* Article titles in AMA citation format should be in sentence-case
TY - ELEC T1 - Bayes theorem ID - 749163 ED - Venes,Donald, BT - Taber's Medical Dictionary UR - https://nursing.unboundmedicine.com/nursingcentral/view/Tabers-Dictionary/749163/all/Bayes_theorem PB - F.A. Davis Company ET - 23 DB - Nursing Central DP - Unbound Medicine ER -