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Propensity Score Matching is a statistical matching technique that attempts to estimate the effect of a treatment, policy or other intervention by accounting for the covariates that predict receiving the treatment. It helps to reduce bias due to confounding and can be used to estimate the counterfactual outcome.
For example, many of you will have been to a particular university or school and achieved a certain…
ContinueAdded by Ian Morton on May 16, 2013 at 3:00am — 1 Comment
A colleague of mine wanted to understand how to build predictive models, and asked if I had a strategy for building them. I thought it would be useful to share this. For more details about each stage see my personal blog (My suggested strategy for building a “good” predictive model).…
ContinueAdded by Ian Morton on May 9, 2013 at 10:00am — 1 Comment
I was recently reminded of some work I had completed for the oil and gas industry many years ago and thought it would be useful to share with other analysts/statisticians.
For more general information see a case study I have put onto my personal blog (Offshore Storms Statistics and Oil Rigs).
It was important for the oil…
ContinueAdded by Ian Morton on February 28, 2013 at 2:00am — No Comments
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