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st: RE: RE: RE: Ordinal logistic regression
From
Nick Cox <[email protected]>
To
"'[email protected]'" <[email protected]>
Subject
st: RE: RE: RE: Ordinal logistic regression
Date
Thu, 11 Nov 2010 15:53:05 +0000
Not at all my meaning; BMI always contains much more information than any crude categorical reduction of it.
N.B. http://www.stata.com/support/faqs/res/statalist.html#spell
The fact that you have, it seems, categorical predictors is not itself a reason for categorising the response.
Nick
[email protected]
Amal Khanolkar
Because STATA would create equal intervals between the 3 categories of BMI?? Would mlogit be a better choice then?
Nick Cox
Yes, but that strikes me as just throwing away information.
Amal Khanolkar
I would like to know if BMI categorised into normal, overweight and obese could be considered as ordinal data and if so if be used as the outcome in 'ordinal logistic regression' with categorical exposures?
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