False positives are something we often need to think about when making inferences, but not everyone is aware that the probability of getting a false positive skyrockets as more comparisons are made. In this blog post, I discuss the problem of false positives and multiplicity and common ways to correct for multiplicity.
Meta-analyses are widely used to summarize and examine treatment effects. However, few researchers examine the relationship between power and meta-analyses. In this post, I discuss power conceptually and mathematically. Then I explain how different models impact power and the problems with under-powered meta-analyses.