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Cited by 479

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Alternatives to P value: confidence interval and effect size

Open access
Lee, Dong Kyu·2016·Korean Journal of Anesthesiology

Abstract

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.

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Metadata

Authors
Lee, D. K.
Venue
Korean Journal of Anesthesiology
Published
2016
Volume
69
Issue
6
Pages
555
ISSN
  • 0302-5780 (ISSN-L)
  • 2005-6419
  • 2005-7563
OpenAlex
W2547157569
Cited by
479
References
2
FWCI
18.83
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Alternatives to P value: confidence interval and effect size. https://app.cochat.ai/papers/10.4097/kjae.2016.69.6.555
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Lee, D. K. (2016). Alternatives to P value: confidence interval and effect size. Korean Journal of Anesthesiology. https://doi.org/10.4097/kjae.2016.69.6.555

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.