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st: RE: RE: RE: Ordinal logistic regression

From   Nick Cox <>
To   "''" <>
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.  


The fact that you have, it seems, categorical predictors is not itself a reason for categorising the response. 


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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