statistical significance vs. clinical importance #biostatistics #shorts
Sep 7, 2026
Master the chi square test for your categorical data analysis.
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Statistical significance refers to the likelihood that an observed effect is due to chance, often determined by a p-value below a threshold (e.g., 0.05). In contrast, clinical significance assesses whether the observed effect is large enough to impact patient care or treatment decisions, typically measured against a Minimal Clinically Important Difference (MCID).
Statistical significance is about the probability of the observed effect being due to chance.
Clinical significance focuses on the practical implications of the effect in real-world contexts.
Understanding both is crucial for making informed decisions in healthcare, as a statistically significant result may not be clinically significant, and vice versa.
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