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Traffic Injury Prevention Volume 23, 2022 - Issue sup1: Peer-Reviewed Journal for the 66th Annual Scientific Conference of the Association for the Advancement of Automotive Medicine (AAAM)
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Short Communications from the AAAM 66th Annual Conference

Comparisons of head injury risk prediction methods to field data in far-side impacts

Karan Devanea Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, North CarolinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6891-2119View further author information
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Fang-Chi Hsub Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North CarolinaORCID Iconhttps://orcid.org/0000-0002-3310-184XView further author information
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Bharath Koyaa Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, North CarolinaORCID Iconhttps://orcid.org/0000-0003-3784-2706View further author information
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Matthew Davisc Elemance, LLC, Winston-Salem, North CarolinaView further author information
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Ashley A. Weavera Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, North CarolinaORCID Iconhttps://orcid.org/0000-0002-4383-0106View further author information
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F. Scott Gayzika Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, North Carolina;c Elemance, LLC, Winston-Salem, North CarolinaORCID Iconhttps://orcid.org/0000-0002-7443-5424View further author information
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Berkan Guleyupogluc Elemance, LLC, Winston-Salem, North CarolinaORCID Iconhttps://orcid.org/0000-0002-8974-6292View further author information
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Pages S189-S192 | Published online: 03 Oct 2022

References

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