Bayes Theorem: Difference between revisions
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imported>Michael Hardy (Deleting nonsense. That application may be the most familiar to some particular audience to whom these words were originally addressed, but this is for a broader audience.) |
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'''Bayes Theorem''' is 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. | '''Bayes Theorem''' is 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. In clinical decision analysis it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.<ref name="MeSH">{{cite web |url=http://www.nlm.nih.gov/cgi/mesh/2008/MB_cgi?mode= |title=Bayes Theorem |accessdate=2007-12-09 |author=National Library of Medicine |authorlink= |coauthors= |date= |format= |work= |publisher= |pages= |language= |archiveurl= |archivedate= |quote=}}</ref> | ||
==Calculations== | ==Calculations== | ||
Revision as of 18:38, 19 December 2007
Bayes Theorem is 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. In clinical decision analysis it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.[1]
Calculations
References
- ↑ National Library of Medicine. Bayes Theorem. Retrieved on 2007-12-09.