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Category: Communication

Description: Several methods exist for assessing study quality in meta-analysis, but these are typically discipline specific. One approach used across disciplines to assess the evidential value of an individual study is to calculate its statistical power, which can identify the range of effect sizes that can be reliably detected. Studies with low statistical power are more likely to yield false positives and false negatives. Moreover, studies that cannot detect realistic effect sizes are unlikely to be replicated. Consequently, a meta-analysis that mostly has studies not capable of reliably detecting realistic effects would therefore have less credibility. This talk describes ‘metameta’, an R package that can effortlessly calculate and visualise the statistical power of studies included in a meta-analysis. This talk was delivered at for Oslo Use R group on September 2, 2021. Learn more about the Oslo Use R group here:

License: CC-By Attribution 4.0 International


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