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Bayes Theorem - Research News and Information

Thursday, January 08, 2009

Definition of 'Bayes Theorem'

A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihoods of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.

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Review. Theoretical and empirical evidence for the impact of inductive biases on cultural evolution.

10 Nov 2008 The question of how much the outcomes of cultural evolution are shaped by the cognitive capacities of human learners has been explored in several disciplines, including psychology, anthropology and linguistics. We address this question through a ... Read more...


Aggressive vs. conservative phototherapy for infants with extremely low birth weight.

28 Oct 2008 BACKGROUND: It is unclear whether aggressive phototherapy to prevent neurotoxic effects of bilirubin benefits or harms infants with extremely low birth weight (1000 g or less). METHODS: We randomly assigned 1974 infants with extremely low birth ... Read more...


Phylogeography and ecology of an endemic radiation of Hawaiian aquatic case-bearing moths (Hyposmocoma: Cosmopterigidae).

25 Oct 2008 The endemic moth genus Hyposmocoma (Lepidoptera: Cosmopterigidae) may be one of the most speciose and ecologically diverse genera in Hawaii. Among this diversity is the Hyposmocoma saccophora clade with previously unrecorded aquatic larvae. I ... Read more...

 

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Technical information about 'Bayes Theorem'

Definition: A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihoods of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.

Descriptor UI: D001499

Alternative terms: Bayes Theorem; Theorem, Bayes; Bayesian Forecast; Forecast, Bayesian; Bayesian Prediction; Prediction, Bayesian; Bayesian Analysis; Analysis, Bayesian; Bayesian Method; Method, Bayesian;

Tree Number: E05.318.740.600.200; N05.715.360.750.625.150; N06.850.520.830.600.200;

Online Note: search PROBABILITY 1968-74

History Note: 91(75); was see under PROBABILITY 1975-90

Technical Notes: IM GEN only; coord NIM with specific disease (IM); no qualif; specify geog if pertinent

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