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Re: st: Comparing trend (y) with trend (x) using ordinal logistic regression
From
Nick Cox <[email protected]>
To
[email protected]
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
<[email protected]> 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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