# How do I fit generalised linear multilevel models including offsets?

**URL:** <https://discourse.julialang.org/t/how-do-i-fit-generalised-linear-multilevel-models-including-offsets/74286>\
**Category:** Statistics\
**Tags:** glm\
**Created:** [January 9, 2022, 3:03pm UTC](https://discourse.julialang.org/t/how-do-i-fit-generalised-linear-multilevel-models-including-offsets/74286 "2022-01-09T15:03:54Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![zdenek\_hurak](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/zdenek_hurak/32/53118_2.png) [@zdenek\_hurak](https://discourse.julialang.org/u/zdenek_hurak)\
**Post date:** [January 9, 2022, 3:41pm UTC](https://discourse.julialang.org/t/how-do-i-fit-generalised-linear-multilevel-models-including-offsets/74286/5 "2022-01-09T15:41:58Z")

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The very first item in [Make it easier to help you](https://discourse.julialang.org/t/please-read-make-it-easier-to-help-you/14757) the list reads

> 1. Choose a **descriptive title** that captures the key part of your question, eg _“plots with multiple axes”_ instead of something generic like _“help me with plotting”_ . Make use of tags and categories (you can **edit** those and the title **after posting** ). These will make it more likely that your question will be seen by the people who can potentially help.

I think that a title such as:

`glm` with `NegativeBinomial` distribution fails to to fit a negative binomial model.

would stand a better chance of finding qualitifed participants for this discussion. The more so that your post is not short and reading through a half of it still does not give a clue.

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