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RE: Re: st: RE: Ordinal logistic regression
From
Nick Cox <[email protected]>
To
"'[email protected]'" <[email protected]>
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.
Nick
[email protected]
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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