A new condition for assessing the clinical efficiency of a diagnostic test.

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).

Analyzing individual and group differences in multijoint multiwaveform gait data using the Parafac2 model.

Locomotion research often involves analyzing multiwaveform data (e.g., velocities, accelerations, etc.