Bayes' theorem and diagnostic tests in neuropsychology: Interval estimates for post-test probabilities

Clinical Neuropsychologist

Volumn 23, Issue 4, 2009, Pages 624-644

  Crawford, John R ^a   Garthwaite, Paul H ^b   Betkowska, Karolina ^a  

^a UNIVERSITY OF ABERDEEN   (United Kingdom)

^b OPEN UNIVERSITY   (United Kingdom)

Author keywords

Bayesian methods; Diagnostic testing; Interval estimates; Post test probabilities; Quantitative methods

Indexed keywords

BAYES THEOREM; COMPUTER PROGRAM; DIAGNOSTIC TEST; MONTE CARLO METHOD; NEUROPSYCHOLOGY; PRETEST POSTTEST DESIGN; PROBABILITY; QUANTITATIVE ANALYSIS; REVIEW; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; HUMAN; LABORATORY DIAGNOSIS; PREDICTION AND FORECASTING; PSYCHOMETRY;

BAYES THEOREM; DIAGNOSIS, COMPUTER-ASSISTED; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; HUMANS; MONTE CARLO METHOD; NEUROPSYCHOLOGY; PREDICTIVE VALUE OF TESTS; PROBABILITY; PSYCHOMETRICS; SENSITIVITY AND SPECIFICITY;

EID: 67650687142     PISSN: 13854046     EISSN: 17444144     Source Type: Journal    
DOI: 10.1080/13854040802524229     Document Type: Review

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