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Ian Morton
  • Male
  • Edinburgh
  • United Kingdom
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Profile Information

Seniority:
Other
Job Function:
Predictive Modeling, Statistical Programming, Environmental Statistics, Other
Short Bio:
Ian Morton works as a statistician in Justice Analytical Services for the Scottish Government. He has nearly 20 years experience using statistical software (SPlus and SAS mainly) - from within the private and public sectors. He is Base SAS certified and his interests are in predictive modelling and the work of W. Edwards Deming. He has provided non-technical presentations to stakeholders, and has written technical journal articles for academia.
LinkedIn Profile:
http://uk.linkedin.com/in/idmorton
Interests:
Finding a New Position, Networking

Ian Morton's Blog

The application of Propensity Score Matching

Posted on May 16, 2013 at 3:00am 1 Comment

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…

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Building a good predictive model for credit risk

Posted on May 9, 2013 at 10:00am 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).…

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Round and round at sea with circular statistics

Posted on February 28, 2013 at 2:00am 0 Comments

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…

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