Today in class we: Described the commonly invoked SUTVA condition, reviewed the Morgan and Rubin paper, and saw some simple examples of adjustments for confounding by blocking on observable features. Here again is a link to the Morgan and Rubin paper, and here is a link to the R script we will take a look… Continue reading Jan 17
Category: causal inference
Potential outcomes
The potential outcome formalism of Donald Rubin and Jerzy Neyman is a key development in modern causal inference. One of our textbooks has a pretty good list of scholarly references. See also this blog post of Gelman's for some interesting discussion about the intellectual history of potential outcomes in economics. The assigned paper by Holland defines the fundamental problem of causal… Continue reading Potential outcomes
The fundamental problem of causal inference
Holland JASA 1986. Planet Money: What Causes What? On Monday in class I reviewed most of the material in the nice (and famous) 1986 JASA article by Paul Holland with the crazy-general title "Statistics and Causal Inference". Additionally, I described in very informal terms some of the common methods of inferring causal effects from… Continue reading The fundamental problem of causal inference
Spring 2018
This blog will serve as a platform for class notes from my two Spring 2018 graduate courses in Bayesian Statistics and Causal Inference at Arizona State University. I'm running the notes from WordPress because it has decent LaTeX support and it is easier than Blackboard. The first order of business is to test out the… Continue reading Spring 2018
Stat Ranch 