Causal Inference on Rebecca Barter
http://www.rebeccabarter.com/categories/causal-inference/
Recent content in Causal Inference on Rebecca BarterHugo -- gohugo.ioen-usWed, 23 May 2018 21:13:14 -0500Understanding Instrumental Variables
http://www.rebeccabarter.com/blog/2018-05-23-instrumental_variables/
Wed, 23 May 2018 21:13:14 -0500http://www.rebeccabarter.com/blog/2018-05-23-instrumental_variables/Suppose, as many do, that we want to estimate the effect of an action (or treatment) on an outcome. As an example, we might be interested in estimating the effect of receiving a drug vs not receiving a drug on the incidence of heart disease. In an ideal futuristic world, we would take each individual in our population and split them into two identical humans: one who receives the treatment and the other who doesn’t.The intuition behind inverse probability weighting in causal inference
http://www.rebeccabarter.com/blog/2017-07-05-ip-weighting/
Wed, 05 Jul 2017 21:13:14 -0500http://www.rebeccabarter.com/blog/2017-07-05-ip-weighting/In my previous post, I introduced causal inference as a field interested in estimating the unobservable causal effects of a treatment: i.e. the difference between some measured outcome when the individual is assigned a treatment and the same outcome when the individual is not assigned the treatment.
If you’d like to quickly brush up on your causal inference, the fundamental issue associated with making causal inferences, and in particular, the troubles that arise in the presence of confounding, I suggest you read my previous post on this topic.Confounding in causal inference: what is it, and what to do about it?
http://www.rebeccabarter.com/blog/2017-07-05-confounding/
Wed, 05 Jul 2017 21:12:14 -0500http://www.rebeccabarter.com/blog/2017-07-05-confounding/Often in science we want to be able to quantify the effect of an action on some outcome. For example, perhaps we are interested in estimating the effect of a drug on blood pressure. While it is easy to show whether or not taking the drug is associated with an increase in blood pressure, it is surprisingly difficult to show that taking the drug actually caused an increase (or decrease) in blood pressure.