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From |
Lin Yang <linyang33@gmail.com> |

To |
statalist <statalist@hsphsun2.harvard.edu> |

Subject |
st: Estimating adjusted prevalence from logistic model |

Date |
Mon, 17 Feb 2014 19:49:55 -0600 |

Hi All A question regarding how to retrieve the adjusted prevalence from logistic models. As in odds is the prevalence divide 1 minus the prevalence. I suppose I could use "margins", and set my covariates at certain values, but I am not sure I am doing it right. For example, I run my model xi: logit outcome i.cov1 i.cov2 age where cov1 and cov2 are categorical variables. cov1 is equal to 1 or 2. cov2 is equal to 1, 2, or 3. And age is a continuous variable. then I try to retrieve the prevalence of the outcome in the subgroup where cov1 is 1 and cov2 is 1, and adjusting for age Should I do margins, at (_Icov1_2=0 _Icov2_2=0 _Icov2_3=0) or margins, at (_Icov1_2=0 _Icov2_2=0 _Icov2_3=0) atmeans I am not sure whether I should include 'atmeans' here if I would like to have an age-adjusted prevalence estimate. Or should I use the command 'margins' for the estimation on prevalence of the outcome in a sub-group at all? Would very much appreciate your help! Thanks! Best, Lin Yang * * 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/

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