Biostatistics What is an effect size, and how is it interpreted?72 What is an effect size, and how is it interpreted?72
Effect size is a measure of the difference between interventions in clinical studies
Examples of absolute effect size include Cohen's d, area under the curve, success rate difference, attributable risk, and number needed to treat/harm (NNT/NNH)
Each measure describes effect size in a different way
Effect size is a way to convey the clinical relevance, or clinical significance, of clinical study results
An observed difference in outcomes must translate to a meaningful clinical difference in real-world practice in order to be relevant to patients and clinicians
Effect size is a measure of the difference between interventions in clinical studies
Examples of absolute effect size include Cohen's d, area under the curve, success rate difference, attributable risk, and number needed to treat/harm (NNT/NNH)
Each measure describes effect size in a different way
Effect size is a way to convey the clinical relevance, or clinical significance, of clinical study results
An observed difference in outcomes must translate to a meaningful clinical difference in real-world practice in order to be relevant to patients and clinicians