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Leave-one-out cross-validation and linear modeling of visuospatial memory to predict long-term motor skill retention in individuals with and without chronic stroke: A short report
View ORCID ProfileJennapher Lingo VanGilder, View ORCID ProfileAndrew Hooyman, View ORCID ProfilePamela R. Bosch, View ORCID ProfileSydney Y. Schaefer
doi: https://doi.org/10.1101/2020.10.14.330357
Jennapher Lingo VanGilder
1School of Biological and Health Systems Engineering, Arizona State University
M.S.Andrew Hooyman
1School of Biological and Health Systems Engineering, Arizona State University
Ph.D.Pamela R. Bosch
2Department of Physical Therapy and Athletic Training, Northern Arizona University
P.T., D.P.T., Ph.D.Sydney Y. Schaefer
1School of Biological and Health Systems Engineering, Arizona State University
3Department of Physical Therapy and Athletic Training, University of Utah
Ph.D.Article usage
Posted October 15, 2020.
Leave-one-out cross-validation and linear modeling of visuospatial memory to predict long-term motor skill retention in individuals with and without chronic stroke: A short report
Jennapher Lingo VanGilder, Andrew Hooyman, Pamela R. Bosch, Sydney Y. Schaefer
bioRxiv 2020.10.14.330357; doi: https://doi.org/10.1101/2020.10.14.330357
Leave-one-out cross-validation and linear modeling of visuospatial memory to predict long-term motor skill retention in individuals with and without chronic stroke: A short report
Jennapher Lingo VanGilder, Andrew Hooyman, Pamela R. Bosch, Sydney Y. Schaefer
bioRxiv 2020.10.14.330357; doi: https://doi.org/10.1101/2020.10.14.330357
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