[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

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

Subject |
st: RE: Negative binomial regression and Incident rate ratio(IRR) |

Date |
Tue, 1 Sep 2009 13:35:34 +0100 |

Counts but no denominators means no ratios can be calculated, to my simple mind. That is, modelling without an offset implies that whatever you are comparing is exactly comparable. The results are unreliable, to put it gently, to the extent that that isn't true. How could it be otherwise? (N.B. inciden_ce_ rate ratios.) Nick n.j.cox@durham.ac.uk Muhammad Riaz I am trying to fit a model for count data using Negative binomial regression, it gives incident rate ratios for the variables in the model, one of the options for this type of model is specifying the offset variable while fitting the model in stata using glm. This offset should be the person years (if i am correct). however I do not have data on this variable. My question is: Is it correct to fit the model without an offset and would the Incident rate ratio be still correct to report If I do not specify the offset variable in the model? * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Negative binomial regression and Incident rate ratio(IRR)***From:*Muhammad Riaz <citriaz@yahoo.com>

- Prev by Date:
**st: time updated covariates** - Next by Date:
**st: RE: correlated data** - Previous by thread:
**st: Negative binomial regression and Incident rate ratio(IRR)** - Next by thread:
**Re: st: Negative binomial regression and Incident rate ratio(IRR)** - Index(es):

© Copyright 1996–2015 StataCorp LP | Terms of use | Privacy | Contact us | What's new | Site index |