Generating normative data from web-based administration of the Cambridge Neuropsychological Test Automated Battery using a Bayesian framework
This study documents a novel, reproducible and robust method for describing normative cognitive performance with ageing using a large dataset.
Authors
- Fiona Cree (ORCID: https://orcid.org/0000-0002-2450-6976)
- Rosa Backx (ORCID: https://orcid.org/0000-0002-1685-863X)
- Jack Cotter (ORCID: https://orcid.org/0000-0002-3414-6265)
- Jasmin Kroll (ORCID: https://orcid.org/0000-0001-7961-6630)
- Elizabeth Wragg
- Francesca Cormack (ORCID: https://orcid.org/0000-0002-4413-177X)
- Peter Annas (ORCID: https://orcid.org/0000-0003-0576-765X)
- Milly Lowther
- Pasquale Dente (ORCID: https://orcid.org/0000-0002-2652-1512)
- Caroline Skirrow (ORCID: https://orcid.org/0000-0001-8692-7787)
- Jenny Barnett (ORCID: https://orcid.org/0009-0001-5019-9914)
Institutions
- University of Cambridge (GB)
- University of Bristol (GB)
- Cambridge Cognition (United Kingdom) (GB)
- Holbæk Sygehus (DK)
- University College London (GB)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2024-09-20
- DOI
- https://doi.org/10.3389/fdgth.2024.1294222
- Citations
- 1
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.39