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Bayes theorem

Pronunciation: bayz

Definition: the impacts of new data on the evidential merits of competing scientific hypotheses are compared by computing for each the product of the antecedent plausibility (the prior probability) and the likelihood of the current data given that hypothesis (the conditional probability) and rescaling them so that their total is unity (the rescaled values being posterior probabilities).

See Also: diagnostic sensitivity, diagnostic specificity, predictive value

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© Copyright 2018 Wolters Kluwer. All Rights Reserved. Review date: Sep 19, 2016.

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