ArticleJournal of athletic training2019
Statistical Methods for Handling Observation Clustering in Sports Injury Surveillance.
Article in Journal of athletic training, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- The Effects of Headgear in High School Girls' Lacrosse.Orthopaedic journal of sports medicine · 2020Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextAdvances in sports injury-surveillance methods have made it possible to accommodate non-time-loss (NTL) injury reporting; however, the analysis of surveillance data now requires careful consideration of the nuances of NTL injury records.
backgroundInjury-surveillance mechanisms that record NTL injuries are more likely to contain multiple injury records per athlete. These must be handled appropriately in statistical analyses to make methodologically sound inferences.
methodsWe simulated datasets of NTL injuries using varying degrees of observation clustering and compared the inferences made using traditional techniques with those made after accounting for clustering in computations of injury proportion ratios.
resultsInappropriate handling of even moderate clustering resulted in flawed inferences in 10% to 12% of our simulations. We observed greater bias in our estimates as the degree of clustering increased.
conclusionsWe urge investigators to carefully consider observation clustering and adapt analytical methods to accommodate the evolving sophistication of surveillance.
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