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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 19:12:17 +0000 |

I'd follow Maarten's pointers on this. Yes; -bf- can be a predictor too. I am puzzled by your belief, repeated here, that you need new variables. You already have the data in optimal form as 0 and 1 values for logit analyses: creating different versions of the same variables will make nothing easier and -logit- impossible. Nick On Mon, Nov 12, 2012 at 6:59 PM, Ameya Bondre <ameyabondre.jhsph@gmail.com> wrote: > Thanks, I am trying to see if I can adapt the example given by > Maarten, to my data...but would it be possible if I want to include > mal and bf as a response and predictor respectively, in the same logit > model and with this data set? > > If yes, do I have to create new variables from mal and bf, to see > trend in mal as a function of trend in bf? > > I mean variables such as mal = 1 (mal in 2009) or 2 (mal in 2011) and > bf = 1 (bf in 2009) or 2 (bf in 2011) > > > On Mon, Nov 12, 2012 at 1:35 PM, Nick Cox <njcoxstata@gmail.com> wrote: >> >> 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>

**Re: st: Comparing trend (y) with trend (x) using ordinal logistic regression***From:*Nick Cox <njcoxstata@gmail.com>

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

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