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Seven sins when interpreting statistics in sports injury science
Editorial   Open access

Seven sins when interpreting statistics in sports injury science

Rasmus Oestergaard Nielsen, Cassandra M Chapman, Winnifred R Louis, Steven D Stovitz, Mohammad Ali Mansournia, Johann Windt, Merete Moller, Erik Thorlund Parner, Adam Hulme, Michael Lejbach Bertelsen, …
British Journal of Sports Medicine, Vol.52(22), pp.1410-1412
2018
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https://doi.org/10.1136/bjsports-2017-098524View
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Abstract

The British Journal of Sports Medicine has introduced a series of editorials and infographics that explain the value of using appropriate methodology in sports injury research. Indeed, proper methodology is necessary for understanding why sports injuries develop, how best to prevent them and which therapeutic interventions will be most effective. Without correctly applying and interpreting statistics, subjective intuitions could lead to incorrect conclusions. In this editorial, we present seven common 'statistical sins' made in research and discuss how to present research findings in such a way as to help athletes, coaches and clinicians avoid drawing flawed conclusions when attempting to interpret causality in sports injury research. The sins have been adapted from an article originally published in The Conversation.

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