Moving beyond dichotomies: a case for logistic regression in neuropsychological evaluation

We advocate using LR-based probability estimates instead of group-based cutoff scores when making dichotomous decisions from continuous data. These probability estimates can be directly applied to clinical and research practice.

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Publication Details

Journal
Journal of Clinical and Experimental Neuropsychology
Published
2025-02-07
DOI
https://doi.org/10.1080/13803395.2025.2478985
Citations
1
Primary Topic
Traumatic Brain Injury Research
Type
article
Field-Weighted Citation Impact
1.35
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article

Moving beyond dichotomies: a case for logistic regression in neuropsychological evaluation

Craig R. Miller, Robert J. Spencer, Michael T. Ransom, Sarah D. Patrick et al.
1 citations
Journal of Clinical and Experimental Neuropsychology
Traumatic Brain Injury Research
1.35
article

Moving beyond dichotomies: a case for logistic regression in neuropsychological evaluation

Craig R. Miller, Robert J. Spencer, Michael T. Ransom, Sarah D. Patrick, Andrew C. Hale
article en
1 citations

Abstract

We advocate using LR-based probability estimates instead of group-based cutoff scores when making dichotomous decisions from continuous data. These probability estimates can be directly applied to clinical and research practice.

Journal of Clinical and Experimental NeuropsychologyVol. 47(1-2)
University of Michigan (US), University Health System (US), VA Ann Arbor Healthcare System (US), Michigan Medicine (US)
Reduced inequalities
Openalex Percentile: Top 22%
Traumatic Brain Injury Research
1.35
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Moving beyond dichotomies: a case for logistic regression in neuropsychological evaluation — Craig R. Miller, Robert J. Spencer, et al. · Journal of Clinical and Experimental Neuropsychology (2025) | TGRS Research Map | TGRS