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Tumori Journal, 1970 Bayes’ theorem is a useful mathematical and statistical tool for calculating the probability of a given diagnosis from the clinical signs and their incidence in the various diagnoses considered. The theorem is highly pertinent to mammography, especially in mass screening, which calls for a simple unequivocal method of evaluating clinical and ...
Francesco Di Pietrantonj, Ugo Salvolini
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International Philosophical Quarterly, 2005
Bayes' theorem is a tool for assessing how probable evidence makes some hypothesis. The papers in this book consider the worth and applicability of the theorem. The book sets out the philosophical issues: Elliott Sober argues that there are other criteria for assessing hypotheses; Colin Howson, Philip Dawid, and John Earman consider how the theorem can
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Bayes' theorem is a tool for assessing how probable evidence makes some hypothesis. The papers in this book consider the worth and applicability of the theorem. The book sets out the philosophical issues: Elliott Sober argues that there are other criteria for assessing hypotheses; Colin Howson, Philip Dawid, and John Earman consider how the theorem can
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Cardiology Clinics, 1984
Formal probability analysis based on Bayes' theorem greatly enhances the diagnostic capabilities of exercise testing in the detection of coronary artery disease. The pretest characteristics of a patient must be considered along with the test results in arriving at a post-test probability of disease.
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Formal probability analysis based on Bayes' theorem greatly enhances the diagnostic capabilities of exercise testing in the detection of coronary artery disease. The pretest characteristics of a patient must be considered along with the test results in arriving at a post-test probability of disease.
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Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1967
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