There are plenty of folks in the nutrition and fitness sphere who often critically assess scientific studies. However, many of their assessments are flawed. Several are based on a poor understanding of statistics and methodology. Here, I give a few examples where prominent low-carbohydrate advocates make erroneous statements.
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.