TY  - JOUR
T1  - Bayesian thinking: A safer tool for reassurance
AU  - Zilberberg MD
Y1  - 2011/04/11
N1  - 10.1001/archinternmed.2011.111
JO  - Archives of Internal Medicine
SP  - 702
EP  - 710
VL  - 171
IS  - 7
N2  - 
Ideally, a test is ordered to augment the accuracy of decision making, given the particular patient's clinical presentation. A perfect test, while identifying the disease 100% of the time when present (100% sensitivity), would never misidentify those without the disease as having it (100% specificity). Unfortunately, no such test exists, and for this reason a clinician must consider the value of a positive (positive predictive value) or a negative (negative predictive value) result in the context of the given patient (pretest probability of the disease).

SN  - 0003-9926
M3  - doi: 10.1001/archinternmed.2011.111
UR  - http://dx.doi.org/10.1001/archinternmed.2011.111
ER  -