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Can I read Effect Sizes of the Differences Between Means Without Assuming Variance Equality and Between a Mean and a Constant on EtoBox?
Effect Sizes of the Differences Between Means Without Assuming Variance Equality and Between a Mean and a Constant by Aoki, Satoshi is a Medicine article available to read on EtoBox.
What is Effect Sizes of the Differences Between Means Without Assuming Variance Equality and Between a Mean and a Constant about?
Effect sizes of the difference, or standardized mean differences, are widely used for meta-analysis or power-analysis. However, common effect sizes of the difference such as Cohen's __d__ or Hedges' __d__ assume variance equality that is fragile and is often violated in practical applications. Based on Welch's __t__ tests, we defined a new effect size of the difference between means, which did not assume variance equality, thereby providing a more accurate value for data with unequal variance. In addition, we presented the unbiased estimator of an effect size of the difference between a mean and a known constant. An R package is also provided to compute these effect sizes with their variance and confidence interval.
Who reads Effect Sizes of the Differences Between Means Without Assuming Variance Equality and Between a Mean and a Constant?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Aoki, Satoshi
- Publisher
- Elsevier ; Elsevier BV; Londen: Elsevier Ltd. (ISSN 2405-8440)
- Published
- 2020
- Language
- EN
- Field
- Medicine (Physical Sciences)