Battery length as a moderator of classification accuracy for cognitive impairment: a Monte Carlo simulation using actuarial and Bayesian methods.
- DOI
- 10.1093/arclin/acag078
- Published
- 2026 Sep 9
- Container
- Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1093/arclin/acag078,
title = {Battery length as a moderator of classification accuracy for cognitive impairment: a Monte Carlo simulation using actuarial and Bayesian methods.},
author = {Davis A},
year = {2026},
journal = {Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists},
doi = {10.1093/arclin/acag078},
url = {https://doi.org/10.1093/arclin/acag078}
}RIS
TY - JOUR TI - Battery length as a moderator of classification accuracy for cognitive impairment: a Monte Carlo simulation using actuarial and Bayesian methods. AU - Davis A PY - 2026 JO - Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists DO - 10.1093/arclin/acag078 UR - https://doi.org/10.1093/arclin/acag078 ER -
APA
A, D. (2026). Battery length as a moderator of classification accuracy for cognitive impairment: a Monte Carlo simulation using actuarial and Bayesian methods.. Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists. https://doi.org/10.1093/arclin/acag078
Source records
- pubmed · retrieved 2026-11-10T16:33:07.497Z