I just finished reading an excellent book on meta-analysis, Introduction to Meta Analysis by Borenstein et al. The book starts with the motivating example of streptokinase, a blood clot buster. Early studies showed conflicting evidence of efficacy of the drug in preventing death following a heart attack. These early studies were small, and the main outcome was often not significantly … More An introduction to meta-analysis
In the last post I showed how to fit a Bayesian hierarchical model in R to estimate experimental parameters. Our main data analysis pipeline uses Matlab, and we’d like to integrate these two environments for the purpose of analysis. The example involved JAGS, which does have a direct Matlab interface in addition to the more common R one, but more … More Calling R from Matlab – flat file communication
I ran into a tricky problem while analyzing a series of experiments we recently performed with Scanbox. We’re trying to estimate the angle of the objective with respect to the cortical surface. The way we approach this is by scanning at a given depth, going down a little bit, scanning again, and so on. By … More Bayesian mixed effects model to estimate experimental parameters
