The Impact of Test‐Scoring Models on MCI Diagnosis
MCI classification is strongly influenced by the model used to score performance. Compared to other models, a Comprehensive model accounted for more variance, reduced racial bias in MCI classification, and identified different participants with performance in the MCI range.
Authors
- Jas M. Chok
- Timothy J. Herron (ORCID: https://orcid.org/0000-0002-4297-014X)
- David K. Johnson (ORCID: https://orcid.org/0000-0003-3670-8054)
- Kathleen Hall
- Michael Blank
- Krista Schendel (ORCID: https://orcid.org/0000-0001-8203-296X)
- Maria Spinelli (ORCID: https://orcid.org/0000-0003-2685-5472)
- David L. Woods (ORCID: https://orcid.org/0000-0002-8804-3587)
- Sandy J. Lwi (ORCID: https://orcid.org/0000-0002-2904-7078)
- Kristin Geraci
- Miranda Miranda
- Juliana V. Baldo
- Isabella Jaramillo
Institutions
- Palo Alto University (US)
- Neurobehavioral Systems (US)
- VA Northern California Health Care System (US)
- University of California, Davis (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.091618
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00