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

[Ameya Bondre <ameyabondre.jhsph@gmail.com>]

Hello,

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.

Thank you,
Ameya Bondre
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