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Re: st: Friedman tests

From   Ron´┐Żn Conroy <[email protected]>
To   [email protected]
Subject   Re: st: Friedman tests
Date   Wed, 23 Mar 2005 10:32:08 +0000

Ashley Harris wrote:


What I have nonparametric data for 3 groups, 1 dependent variable (ratio)
and 2 independent variables (technique and analysis type).

Data are not parametric or nonparametric. And, indeed, the terms are confusing when applied to statistical procedures. I presume that you have a dependent variable that you can't put into a regression or anova. Nevertheless, before you head off an do a rank test, consider using some of the more powerful alternatives.

- counted data: consider negative binomial regression (or Poisson, if counts are of rare events)
- ordered categories: ordinal logistic regression springs to mind

With these techniques, you can explore multiple independent variables, just as you can in regression. Of course, these models have assumptions, just as any model does, and you should check that your data conform to these assumptions.

Rank tests tend to be an index of despair. They lose important information by losing the original measurement scale of the dependent variable. This allows you to assess statistical significance, but not real life importance.


Ronan M Conroy ([email protected]) Senior Lecturer in Biostatistics Royal College of Surgeons Dublin 2, Ireland +353 1 402 2431 (fax 2764) -------------------- Just say no to drug reps

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