KMID : 1134220150350010040
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Hanyang Medical Reviews 2015 Volume.35 No. 1 p.40 ~ p.43
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Understanding Effect Si
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Nahm Sahn-Gun
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Abstract
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In most medical research the P value is commonly used to describe test results. Because the power of statistical test is influenced by sample size, the null hypothesis can be rejected (P<0.05) in most cases if the sample size is tremendously big even if the real difference (or relationship) is extremly small. To overcome the weakness of using the P value, effect size can be used in the statistical analysis. Effect size can be defined as the ¡°degree to which the phenomenon (difference or relationship) is present in the population¡±. The effect size is used in sample size calculation, data interpretation and conducting meta-analysis. This manuscript describes limitations in using the P value and further introduces the concept of effect size.
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KEYWORD
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Data Interpretation, Statistical, Meta-Analysis, Research Design
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