Sports medicine clinicians and researchers should all be familiar with the concepts of false positives and false negatives. Research to test a hypothesis about a link between, say, a risk factor and a disease, can potentially be wrong in either of two ways. The findings might falsely show a link when in reality one does not exist (a type I or á error), or they may fail to show a link when there really is one (a type II or â error)1 2. Hopefully most of the time, if studies are well conducted, the likelihood of both of these errors is reduced.
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