Is your feature request related to a problem? Please describe.
If I were to run a meta-analysis I should estimate what sensitivity I get or run a-priory power analysis. When following PRISMA, MARS or MECIR protocols, a power analysis should be performed.
Describe the solution you'd like
Add a feature to your module to calculate (and visualise) a priory power and/or sensitivity to observe effects for each type of (frequentist) meta-analysis.
Describe alternatives you've considered
Report the power calculation within the great paragraph containing the explanation of all the results.
Additional context
Meta-analyses are only the state of the art results, but not ultimate results. We always need to consider whether the available evidence is strong enough in regards to power to observe effects. The power analysis results of a meta-analysis should be one of the strong features of this approach to evidence synthesis.
Is your feature request related to a problem? Please describe. If I were to run a meta-analysis I should estimate what sensitivity I get or run a-priory power analysis. When following PRISMA, MARS or MECIR protocols, a power analysis should be performed.
Describe the solution you'd like Add a feature to your module to calculate (and visualise) a priory power and/or sensitivity to observe effects for each type of (frequentist) meta-analysis.
Describe alternatives you've considered Report the power calculation within the great paragraph containing the explanation of all the results.
Additional context Meta-analyses are only the state of the art results, but not ultimate results. We always need to consider whether the available evidence is strong enough in regards to power to observe effects. The power analysis results of a meta-analysis should be one of the strong features of this approach to evidence synthesis.
Article Citations A priori and sensitivity power calculations for correlation coefficients: https://towardsdatascience.com/how-to-calculate-statistical-power-for-your-meta-analysis-e108ee586ae8 https://journals.sagepub.com/doi/full/10.3102/1076998609346961