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Data documentation for Implications of using administrative healthcare data to identify risk of motor vehicle crash-related injury: the importance of distinguishing crash from crash-related injury

Description

Abstract:
Title: Implications of using administrative healthcare data to identify risk of motor vehicle crash-related injury: the importance of distinguishing crash from crash-related injury Authors: Nina R. Joyce, Leah R. Lombardi, Melissa R. Pfeiffer, Allison E. Curry, Seth A. Margolis, Brian R. Ott, Andrew R. Zullo Grant: This work is supported by the National Institute on Aging (R01AG065722, R01AG065722-S1, R01AG079295), and the Eunice Kennedy Shriver National Institute of Child Health and Human Development at the National Institutes of Health (R01HD096221).
Notes:
This work is supported by the National Institute on Aging (NIA) under awards nos. R01AG065722, R01AG065722-S1, R01AG079295, and the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHHD) at the National Institutes of Health (NIH) under award R01HD09622

Access Conditions

Use and Reproduction
Attribution 4.0 International (CC BY 4.0)
Rights
In Copyright

Citation

Joyce, Nina R., Lombardi, Leah R., Pfeiffer, Melissa R., et al., "Data documentation for Implications of using administrative healthcare data to identify risk of motor vehicle crash-related injury: the importance of distinguishing crash from crash-related injury" (2024). Brown University Open Data Collection, Center for Gerontology and Healthcare Research Data. Brown Digital Repository. Brown University Library. https://doi.org/10.26300/985b-8j02

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