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Seven Statistical Sins

RUNSAFE and collaborators now present “Seven Statistical Sins when Interpreting Statistics in Sports Injury Science”. This work summarizes seven key-messages from methodology-related editorials published in 2017.

Committing a “statistical sin” is easy to do in sport injury research. In this editorial, we briefly explain how practitioners and readers of science can avoid falling victim to statistical misinterpretation when interpreting articles in the sports injury research context. RUNSAFE and collaborators hope you find this helicopter-perspective on pitfalls in research valuable and easy to interpret.  



The sevens sins include:

Sin #1: Trusting coincidence

Sin #2: Getting causation backwards

Sin #3: Forgetting to consider multifactorial nature of sports injury development

Sin #4: Avoiding absolute measures of association

Sin #5: Relying on p values.

Sin #6: Deceptive graphs

Sin #7: Not considering sub-group differences


We encourage readers to access the full editorial by Nielsen et al. at the BJSM website: click here.



Nielsen, R.O.; Chapman, C.M.; Louis, W.; Stovitz, S.D.; Mansournia, M.A.; Windt, J., Møller, M.; Parner, E.T.; Hulme, A.; Bertelsen, M.L.; Finch, C.F.; Casals, M.; Verhagen, E. Seven Sins when Interpreting Statistics in Sports Injury Science. Br J Sports Med, December 2017: In press.