My little space in the interwebs.
I gave a quick internet-read to this blogpost by Andrew Gelman. The core of the idea is that to estimate an interaction effect a huge increase in sample size is needed compared to estimating a main effect. That is, if you power a study on main effects you could be very underpowered if you want…
To add a little more to this post, I’ve read several papers where the authors add some details regarding the statistical methods/tests used with the results rather than just reporting a p-value. I think this approach really adds clarity. Here is an example. First, what I see as a typical approach: We found that the…
I posted here some thoughts on biomedical research from a newbie’s perspective. In my current role I work with many medical students and residents with varying levels of research (and statistics) experience. They are expected to produce publishable research products as part of their program while also training to be good physicians. That seems like…
As a relative newcomer to biomedical research, I’ve spent the better part of the last year and a half reading biomedical research journal articles. I was quickly shocked by the number of articles with unclear, incorrect, or otherwise poorly done statistical analyses. This article was one of the first search results from a Google search…