How Useful Is Nutritional Epidemiology?

The studies that gain the most attention from the media are usually nutritional epidemiological studies and these studies make everyone reconsider their beliefs about nutrition. However, there is a good reason to be skeptical of these types of studies and in this blog post, I explain why.

False Positives, FWER, and FDR Explained

False positives are something we must 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 controlling error rates.

Meta-Analysis: Choose Your Model Wisely

Meta-analyses are incredibly common in the literature and they can be hard to understand. In this post, I explain why we conduct meta-analyses in the first place, the effects of different assumptions on the calculations, and traps to avoid when choosing a model.

Myth: Covariates Need to Be Balanced in RCTs

Many people believe that the purpose of randomization is to perfectly balance out both known and unknown covariates in order to reach causal inferences, however, this is simply not true and is a misunderstanding of the process of randomization.

fish oil capsules

It’s Looking Bad for Fish Oil and CVD

Fish oil is a controversial supplement to take for cardiovascular disease. A recent study compiled the evidence from several well-designed studies to assess the relationship between supplementation and CVD outcomes. Here’s a look at that study.