Testing normality using the summary statistics with application to meta-analysis
Abstract
As the most important tool to provide high-level evidence-based medicine, researchers can statistically summarize and combine data from multiple studies by conducting meta-analysis. In meta-analysis, mean differences are frequently used effect size measurements to deal with continuous data, such as the Cohen's d statistic and Hedges' g statistic values. To calculate the mean difference based effect sizes, the sample mean and standard deviation...
Paper Details
Title
Testing normality using the summary statistics with application to meta-analysis
Published Date
Jan 29, 2018
Journal
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