Alternatives to P value: confidence interval and effect size

The previous articles of the Statistical Round in the Korean Journal of Anesthesiology posed a strong enquiry on the issue of null hypothesis significance testing (NHST). P values lie at the core of NHST and are used to classify all treatments into two groups: "has a significant effect" or...

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Vydáno v:Korean journal of anesthesiology Ročník 69; číslo 6; s. 555 - 562
Hlavní autor: Lee, Dong Kyu
Médium: Journal Article
Jazyk:angličtina
Vydáno: Korea (South) The Korean Society of Anesthesiologists 01.12.2016
Korean Society of Anesthesiologists
대한마취통증의학회
Témata:
confidence intervals
effect sizes
p value
Statistical Round
마취과학
Confidence intervals
P value
Effect sizes
ISSN:2005-6419, 2005-7563
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Popis
Shrnutí:The previous articles of the Statistical Round in the Korean Journal of Anesthesiology posed a strong enquiry on the issue of null hypothesis significance testing (NHST). P values lie at the core of NHST and are used to classify all treatments into two groups: "has a significant effect" or "does not have a significant effect." NHST is frequently criticized for its misinterpretation of relationships and limitations in assessing practical importance. It has now provoked criticism for its limited use in merely separating treatments that "have a significant effect" from others that do not. Effect sizes and CIs expand the approach to statistical thinking. These attractive estimates facilitate authors and readers to discriminate between a multitude of treatment effects. Through this article, I have illustrated the concept and estimating principles of effect sizes and CIs.
Bibliografie:ObjectType-Article-2
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G704-000679.2016.69.6.005
ISSN:2005-6419
2005-7563
DOI:10.4097/kjae.2016.69.6.555