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Re: st: Comparing trend (y) with trend (x) using ordinal logistic regression


From   Nick Cox <njcoxstata@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Comparing trend (y) with trend (x) using ordinal logistic regression
Date   Mon, 12 Nov 2012 18:35:16 +0000

All your variables are binary, so your ordinal logit collapses to a
logit. Other predictors you don't name won't change that so long as
your outcome variable is fraction or proportion malnourished.

Nick

On Mon, Nov 12, 2012 at 6:17 PM, Ameya Bondre
<ameyabondre.jhsph@gmail.com> wrote:

> My data set is in this format: [observations 1 to 6 --> children (with
> their mothers as respondents)]
>
>         mal     bf      time
> 1       0       0       0
> 2       1       0       0
> 3       1       1       0
> 4       0       1       1
> 5       0       1       1
> 6       1       0       1
>
> where each of the three variables is ordinal taking two values, 0 and 1.
>
> Explanation for variables:
>
> time: data collected in year ___ (0 = year 2009, 1 = year 2011)
> mal: child malnourished (0 = no, 1 = yes)
> bf: child breastfed exclusively for first six months (0 = no, 1 = yes)
>
> I want to see the relationship between the change in number of
> malnourished children with the change in number of children
> exclusively breastfed, from 2009 to 2011. I tried to perform an
> ordinal logistic regression but I am getting errors.
>
> Could you please explain the way in which I can construct new
> variables out of these, to enter in the ologit model? My end goal is
> to assess the change in malnutrition as a function of the change in
> other predictors as well, in addition to bf.
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