Open AccessImpact of the Prevalence of Cognitive Impairment on the Accuracy of the Montreal Cognitive Assessment
Author(s) -
Johannes A. Landsheer
Publication year - 2020
Publication title -
alzheimer disease and associated disorders
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.213
H-Index - 95
eISSN - 1546-4156
pISSN - 0893-0341
DOI - 10.1097/wad.0000000000000365
Subject(s) - montreal cognitive assessment , medicine , cognitive impairment , cutoff , predictive value , odds ratio , cognition , statistics , odds , logistic regression , mathematics , psychiatry , physics , quantum mechanics
The focus of this study is the classification accuracy of the Montreal Cognitive Assessment (MoCA) for the detection of cognitive impairment (CI). Classification accuracy can be low when the prevalence of CI is either high or low in a clinical sample. A more robust result can be expected when avoiding the range of test scores within which most classification errors are expected, with adequate predictive values for more clinical settings.