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From |
Svend Juul <SJ@SOCI.AU.DK> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Incidence rate ratio |

Date |
Thu, 6 Mar 2008 16:50:39 +0100 |

Mohammed El Faramawi wrote: I am trying to calculate the incidence rate ratio(IRR) for a categorical variable ( Mortality) which has two categories only ( dead or alive) in a probability weighted sample. I am also trying to adjust for covariates. I know that poisson regression can be used to calculate (IRR) and adjust for covariates given that the outcome is a count for example the number of deaths, number stroke attacks, etc . My question is what regression should I use in such a situation i.e outcome which is not count.Can I still use poisson regression which I doubt it?? Thank you --------------------------------------------------------------------- You can use the -poisson- command with individual or aggregated data; the examples in the manual and the help file are with aggregated data, but the command works fine with individual data, coded 1 for dead and 0 for alive. To estimate the incidence rate ratio, each individual's time at risk should also be recorded, here as the variable -risktime-. Example: . poisson died x1 x2 x3, exposure(risktime) irr Hope this helps, Svend ________________________________________________________ Svend Juul Institut for Folkesundhed, Afdeling for Epidemiologi (Institute of Public Health, Department of Epidemiology) Vennelyst Boulevard 6 DK-8000 Aarhus C, Denmark Phone, work: +45 8942 6090 Phone, home: +45 8693 7796 Fax: +45 8613 1580 E-mail: sj@soci.au.dk _________________________________________________________ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Incidence rate ratio***From:*Mohammed El Faramawi <melfaram@yahoo.com>

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