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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. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Comparing trend (y) with trend (x) using ordinal logistic regression***From:*Ameya Bondre <ameyabondre.jhsph@gmail.com>

**References**:**st: Comparing trend (y) with trend (x) using ordinal logistic regression***From:*Ameya Bondre <ameyabondre.jhsph@gmail.com>

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