title: A new condition for assessing the clinical efficiency of a diagnostic test.
abstract: When prediction using a diagnostic test outperforms simple prediction using base rates, the test is said to be "clinically efficient," a term first introduced into the literature by Meehl and Rosen (1955) in Psychological Bulletin. This article provides three equivalent conditions for determining the clinical efficiency of a diagnostic test: (a) Meehl-Rosen (Meehl & Rosen, 1955); (b) Dawes (Dawes, 1962); and (c) the Bokhari-Hubert condition, introduced here for the first time. Clinical efficiency is then generalized to situations where misclassification costs are considered unequal (for example, false negatives are more costly than false positives). As an illustration, the clinical efficiency of an actuarial device for predicting violent and dangerous behavior is examined that was developed as part of the MacArthur Violence Risk Assessment Study.
authors.affiliation: Department of Statistics.
authors.forename: Ehsan
authors.initials: E
authors.lastname: Bokhari
authors.affiliation: Department of Statistics.
authors.forename: Lawrence
authors.initials: L
authors.lastname: Hubert
mesh_terms: D003617:Dangerous Behavior; D019937:Diagnostic Techniques and Procedures / Q000706:statistics & numerical data*; D006801:Humans; D011237:Predictive Value of Tests; D013223:Statistics as Topic; D014754:Violence / Q000523:psychology*