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From |
Maarten Buis <maartenlbuis@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

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

Date |
Tue, 13 Nov 2012 09:51:09 +0100 |

On Mon, Nov 12, 2012 at 9:42 PM, Ameya Bondre wrote: > So, the logit model that I am looking for is - > > malnutrition (0 = present in 2009 and 1 = present in 2011) ---> > constant + exclusive breastfeeding (0 = present in 2009 and 1 = > present in 2011) This can be interpreted in two ways: 1) You want to look at whether people who were malnurished in 2009 are still malnourished in 2011. This is a simple Markov model. You just estimate two simple logit models with malnourishment status in 2011 as the dependent variable, one for those observations that were malnoursished in 2009 and one for those that were not malnourished in 2009. To estimate this model you obviously need to have asked the same persons in both years. 2) You want to look of the proportions persistet. Now you don't need to have asked the same persons in both years. The solution is again the counterfactual I refered to earlier. --Maarten --------------------------------- Maarten L. Buis WZB Reichpietschufer 50 10785 Berlin Germany http://www.maartenbuis.nl --------------------------------- * * 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/

**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>

**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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