Driving after stroke: A trichotomous logistic regression model to support decision making in uncertain cases
Our logistic regression model allows clinicians to refrain from making unfounded decisions in cases where cognitive test results are inconclusive. In a small proportion of uncertain cases, further assessment is recommended, ideally an on-road test. The model supports more targeted use of on-road evaluations by identifying cases where cognitive test results alone are insufficient.
Authors
- Gábor Fazekas (ORCID: https://orcid.org/0000-0003-3612-8826)
- Gábor Szabó (ORCID: https://orcid.org/0000-0002-4327-025X)
- Roland Molontay (ORCID: https://orcid.org/0000-0002-0666-5279)
- József Pintér
Institutions
- Semmelweis University (HU)
- Budapest University of Technology and Economics (HU)
Publication Details
- Journal
- Journal of Stroke and Cerebrovascular Diseases
- Published
- 2025-08-26
- DOI
- https://doi.org/10.1016/j.jstrokecerebrovasdis.2025.108439
- Primary Topic
- Older Adults Driving Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Semmelweis Egyetem