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From |
Muhammad Riaz <citriaz@yahoo.com> |

To |
statalist@hsphsun2.harvard.edu |

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

Date |
Wed, 2 Sep 2009 04:41:38 -0700 (PDT) |

Hi, I am resending this query if somebody could help with, I sent it yesterday but did not get any response. Adding further my query given below, my dependent variable is count (0-9) based on certain scale, i mean the dependent variable measure counts of 9 items for each individual, these counts are given in the table as: d_cap | | Freq. Percent Cum. ------------+----------------------------------- 0 | 449 38.71 38.71 1 | 214 18.45 57.16 2 | 163 14.05 71.21 3 | 112 9.66 80.86 4 | 89 7.67 88.53 5 | 56 4.83 93.36 6 | 41 3.53 96.90 7 | 18 1.55 98.45 8 | 12 1.03 99.48 9 | 6 0.52 100.00 ------------+----------------------------------- Total | 1,160 100.00 Can we fit a regression model with negative binomial distribution? How can we compute the Incident rate ratio? --- On Tue, 9/1/09, Muhammad Riaz <citriaz@yahoo.com> wrote: > From: Muhammad Riaz <citriaz@yahoo.com> > Subject: Negative binomial regression and Incident rate ratio(IRR) > To: statalist@hsphsun2.harvard.edu > Date: Tuesday, September 1, 2009, 3:22 PM > Dear All, > 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? > > I will really appreciate any help. > > Thank you, > > M Riaz > > > > > * * 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/

**Follow-Ups**:**st: R: Fw: Negative binomial regression and Incident rate ratio(IRR)***From:*"Carlo Lazzaro" <carlo.lazzaro@tin.it>

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