title: Interpreting hoofbeats: can Bayes help clear the haze?
authors.affiliation: Division of Clinical Decision Making, New England Medical Center, Tufts University School of Medicine, Boston.
authors.forename: S G
authors.initials: SG
authors.lastname: Pauker
authors.forename: R I
authors.initials: RI
authors.lastname: Kopelman
mesh_terms: D000310:Adrenal Gland Neoplasms / Q000175:diagnosis*; D001499:Bayes Theorem; D002395:Catecholamines / Q000652:urine; D003937:Diagnosis, Differential; D005189:False Positive Reactions; D006801:Humans; D006973:Hypertension / Q000175:diagnosis*; D008297:Male; D008875:Middle Aged; D010673:Pheochromocytoma / Q000175:diagnosis*; D011340:Problem Solving; D012680:Sensitivity and Specificity; D013315:Stress, Psychological; D014642:Vanilmandelic Acid / Q000652:urine*
chemical_list: D002395:Catecholamines; D014642:Vanilmandelic Acid