I mainly post about data analysis and applied statistics stuff, usually in [**R**](https://cran.r-project.org/). Frequent topics include Bayesian statistics, causal inference, multilevel models, and statistical power.| A. Solomon Kurz
I'm finally dipping my does into causal inference for quasi-experiments, and my first use case has missing data. In this post we practice propensity score matching with multiply-imputed data sets, and how to compute the average treatment effect for the treated (ATT) with g-computation.| A. Solomon Kurz
I've been thinking a lot about how to analyze pre/post control group designs, lately. Happily, others have thought a lot about this topic, too. The goal of this post is to introduce the change-score and ANCOVA models, introduce their multilevel-model counterparts, and compare their behavior in a couple quick simulation studies. Spoiler alert: The multilevel variant of the ANCOVA model is the winner.| A. Solomon Kurz