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[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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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 October 16, 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 October 16]. 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
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PB - F.A. Davis Company
ET - 23
DB - Nursing Central
DP - Unbound Medicine