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When examining an association between an exposure and an outcome, researchers may find a small effect that is statistically significant but could lack practical importance or "clinical significance."
A. True
B. False
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Ans:
The above statement is True.
Statistical (probabilistic) significance and clinical (quantitative) significance are different concepts. In contrast, no single threshold for clinical significance exists and none will likely develop because each clinical context is different. For example, even a small improvement in survival for a new therapeutic agent for an aggressive type of cancer would likely be viewed positively; the same percentage improvement involving a benign and self-limited ailment might be met with less enthusiasm.
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