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RE: Re: st: RE: Ordinal logistic regression

From   Nick Cox <>
To   "''" <>
Subject   RE: Re: st: RE: Ordinal logistic regression
Date   Mon, 15 Nov 2010 13:19:32 +0000

Confusion about pounds and kg or inches and cm gives rise to errors about 2 fold, which should often be obvious on careful checking. 

If worried about outliers, you could always work on a transformed scale (meaning, transform the variable or use a non-identity link function). Logarithms seem natural for a positive number that is really a ratio.  


Seed, Paul

I tried out the links Neil suggested.
As expected, dichotomizing generally lead to a loss of power.
However, when it did not, this was due to outliers (in y and x).
AS BMI is susceptible to occasional genuine extreme outliers,
there is some sort of argument for dichotomizing.


False outliers in BMI, due to confusing pounds & kg or inches 
and cm are another matter...

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