Causal Analysis in Theory and Practice

In reference to his previous post , Thomas Colignatus writes:

There is a first draft of the first chapter of my intended book "Elementary statistics and causality" available at http://www.dataweb.nl/~cool/Papers/ESAC/Index.html

The question on the search co-authors might have been formulated a bit strict. I would welcome comments and questions a lot. Obviously, many authors have written on causality a lot, and it is kind of silly to put things in my very own words just to prevent issues on copyrights. On the other hand I am hesitant on full collaboration since the book would be programmed in Mathematica and I know that this is a kind of skill that is not available abundantly. Permissions to quote freely, with proper reference, would be ideal, and in the end you might simply appear to be a co-author. So, take a look at this first chapter and see if your work links up to it. The next chapter is to start with notions of conditional independence.

Thomas updates (5/30):

There is now a discussion "The 2 × 2 × 2 case in causality, of an effect, a cause and a confounder. A cross-over’s guide to the 2 × 2 × 2 contingency table" available at http://mpra.ub.uni-muenchen.de/3351/.

Thomas Colignatus writes:

I plan to write a book with the working title "Basics of causality, correlation, economics and epidemiology, using graphical models. Applications of Mathematica". This book would use Mathematica (www.wri.com) as an environment, so that the reader/user can directly experiment and simulate.

It would be handy to be in contact with other users of Mathematica and to have critical proof-readers in the process, to reduce confusion and increase user friendliness. If interested, send me an email at cool@dataweb.nl. If the input is important we might turn this into a collaboration.

I am currently following a course in graphical models, given by Richard Gill in Leiden, http://www.math.leidenuniv.nl/~gill/teaching/graphical/index.html, which together with Judea Pearl's "Causality" would give a good starting point.

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