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Choosing the Right Propensity Score Method: A statistics fable

Once upon a time there were statisticians who thought the answer to everything was to be as precise, correct and “bleeding edge” as possible. If their analyses were precise to 12 decimal places instead of 5, of course they were better because as everyone knows , 12 is more than 5 (and statisticians knew it…

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Great Resource on Mixed Models (Just not great for me)

I’d always found the SPSS help pretty basic, so I don’t even consider it when looking for information. However, courtesy of the UCLA Academic Computing Group, which has a bunch of the SPSS case studies on-line, I found this one on mixed models. It really is one of the most straight-forward explanations of mixed models,…

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Do Not Re-Invent the Software Wheel unless you’re into wheel-inventing

So I say, “There may be some useful information in the text fields. For example, people who use credit to buy commodities, such as meat may differ from people who buy finished goods like clothing who may differ from people who purchase machinery on credit. Perhaps you may want to consider some kind of clustering.”…