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, 25th ed., F.A. Davis Company, 2025. 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; 2025. https://nursing.unboundmedicine.com/nursingcentral/view/Tabers-Dictionary/749163/all/Bayes_theorem. Accessed April 13, 2025.
Bayes theorem. (2025). In Venes, D. (Ed.), Taber's Medical Dictionary (25th 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; 2025. [cited 2025 April 13]. 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 - 25
DB - Nursing Central
DP - Unbound Medicine
ER -