Poisson Regression Part I | Statistics for Applied Epidemiology | Tutorial 9

Poisson Regression: Why do we use Poisson Regression, How to fit a Poisson Regression model and more!

After watching this statistics tutorial, you would be able to…

►Understand why/when we use a Poisson regression model
►Understand events, counts, incidence, rates
►Fit a Poisson regression model,
►interpret output of a Poisson regression model
●Check for confounding, effect modification
●Compare nested models

►► Watch More:

Content Creator and Producer: Mary Clare Kennedy (M.A.), Research Associate at UBC

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This statistics video tutorial is prepared to support SPPH 500: Analytic Methods in Applied Epidemiology course offered in the School of Population and Public Health at the University of British Columbia (UBC). These videos are created as part of #marinstatslectures video tutorial series to support some courses at UBC (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free.

Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!

[cyg]

Clear & straightforward. Thank you

[kelvinsonmwangi]

Good explanation. What is the name of the data set used in the presentation?

[caseyli]

This was a great video - thank you!
Only nit is that the brackets at 14:29 are a little misleading - to echo the comment below, you may want to clarify the following:

ln(E(y)) - ln(t_i) = ln(E(y) / t_i) = ln(y/10000) = -3.29665

[abcpsc]

12:20 how to get that confidence interval?

[youtbeuser]

where Can I get the data analysed here?

[katherinesuter]

Thank you for the tutorial - very clear and concise. How do you get access to the R code and data files?

[pedrolavinas]

can we have access to the database used?

[ishanbuddhika]

Explanation is AMAZING! Thank you very much! :)

[qianwenliu]

Amazing tutorial! But I think there is a little mistake in the formula for the connect rates to counts part. The formula should be ln(E(yi))-ln(ti)=ln(E(yi)/ti) instead of

[lauradallars]

Does anyone know if the R code is provided for this series? I really appreciate the help!

[sjoerdglaser]

Very clear tutorial! I understand what poisson regression is now


Quick question: By doing all those different tests in the end, isn't that a bit fishing? Just doing all kind of different tests and in the end report the one that show the most interesting results?

[RiccardoVecchi]

Sorry can you please give me the R code for the crude rate? I can't find it

[anmolpardeshi]

if Poisson regression (at basics) is a method to model counts then how is person-time coming into play here. For example: what if I want to run Poisson regression for a die throw. The counts on the upper face of the die could also be modelled this way right? In die throw there is no person-time involved. So, my basic question is - how is Poisson regression transitioning from simple models to these person-time involving models. Pls let me know. Thanks

[ranjanibhat]

Can i use poisson regression for the data containing cases and deaths due to a disease year wise

[soumitrakar]

Can you kindly add the Overdispersion and excessive zeroes and two Part videos of Poisson regression of Mary Clare Kennedy also a part of the video lecture series of Poisson regression then it will be helpful for viewers.

[sebastianbalbo]

I doubt that those kind of STATISTICS MODELS COULD BE USEFUL IN PARTICULAR WHEN YOU HAVE TO UNDERSTAND THE EFFICACY OF PHARMAS