Nonlinear Z‐score modeling for improved detection of cognitive abnormality
Abstract Introduction Conventional Z‐scores are generated by subtracting the mean and dividing by the standard deviation. More recent methods linearly correct for age, sex, and education, so that these “adjusted” Z‐scores better represent whether an individual's cognitive performance is abnorma...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2019-12-01
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Series: | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
Subjects: | |
Online Access: | https://doi.org/10.1016/j.dadm.2019.08.003 |