Welcome to the beginning This is the first post in a series on causal inference. Our ultimate goal is to learn how to analyze data from true experiments, such as RCT’s, with various likelihoods from the generalized linear model (GLM), and with techniques from the contemporary causal inference literature. We’ll do so both as frequentists and as Bayesians. I’m writing this series because even though I learned a lot about data analysis and research design during my PhD, I did not receive t...
