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Peer-reviewedCC BYFrontiers in aging neuroscience

Rasch-based classification of post-stroke balance ability: dimensionality and clinical validation of the BESTest and S-BESTest

5 affiliations
  1. 1Faculty of Physical Therapy, Srinakharinwirot University , ,
  2. 2Department of Rehabilitation Sciences, The Hong Kong Polytechnic University , ,
  3. 3Data-Driven Simulation and Systems Research Team, National Electronics and Computer Technology Center , ,
  4. 4Department of Physiology, Faculty of Science, Mahidol University , ,
  5. 5Innovative Learning Center, Srinakharinwirot University , ,

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BibTeX
@article{winairuk2026raschbased,
  title = {{Rasch-based classification of post-stroke balance ability: dimensionality and clinical validation of the BESTest and S-BESTest}},
  author = {Thitimard Winairuk and Marco Y. C. Pang and Sirod Sirisup and Vitoon Saengsirisuwan and Kamolwan K. Klaykaew and Rumpa Boonsinsukh},
  journal = {Frontiers in aging neuroscience},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13672641},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Rasch-based classification of post-stroke balance ability: dimensionality and clinical validation of the BESTest and S-BESTest
AU  - Thitimard Winairuk
AU  - Marco Y. C. Pang
AU  - Sirod Sirisup
AU  - Vitoon Saengsirisuwan
AU  - Kamolwan K. Klaykaew
AU  - Rumpa Boonsinsukh
PY  - 2026
DA  - 2026/10/19
JO  - Frontiers in aging neuroscience
UR  - https://europepmc.org/article/PMC/PMC13672641
SN  - 1663-4365
ER  -