Methodology for the generation of normative data for the U.S. adult Spanish-speaking population: A Bayesian approach

This is the first normative study for Spanish-speaking adults in the U.S. that uses Bayesian linear or generalized linear regression models for generating norms in neuropsychology, implementing sociocultural measures as possible covariates.

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Publication Details

Journal
Neurorehabilitation
Published
2024-09-20
DOI
https://doi.org/10.3233/nre-240149
Citations
7
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
2.70
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article

Methodology for the generation of normative data for the U.S. adult Spanish-speaking population: A Bayesian approach

Anabel Forte, Laiene Olabarrieta‐Landa, Juan Carlos Arango‐Lasprilla, Diego Rivera et al.
7 citations
Neurorehabilitation
Dementia and Cognitive Impairment Research
2.70
article

Methodology for the generation of normative data for the U.S. adult Spanish-speaking population: A Bayesian approach

Anabel Forte, Laiene Olabarrieta‐Landa, Juan Carlos Arango‐Lasprilla, Diego Rivera, Paul B. Perrin
article en
7 citations

Abstract

This is the first normative study for Spanish-speaking adults in the U.S. that uses Bayesian linear or generalized linear regression models for generating norms in neuropsychology, implementing sociocultural measures as possible covariates.

NeurorehabilitationVol. 55(2)
Universitat de València (ES), Universidad Pública de Navarra (UPNA) (ES), Virginia Commonwealth University (US), Navarre Institute of Health Research (ES), University of Virginia (US)
Quality Education
Openalex Percentile: Top 9%
Dementia and Cognitive Impairment Research
2.70
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