9.11 Poisson Regression: Model Assumptions

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This video presents the model assumptions made when fitting a poisson regression model.

These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in response to COVID.

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Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)

These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free.

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Hi Marin!

Do you have any online material to teach how to simulate data with conditions?

For ex. simulate:
2 variables x and y with a linear correlation of 0.82 between them.
2 variables x and y with a non-linear correlation of 0.82 between them.
3 variables (x, y and z) with a correlation of 0.82 btw x and y and a correlation of 0.90 btw y and z
etc.

It is for teaching purposes.
For me is easy to simulate X groups with a mean difference of Y by creating random values for concrete distributions but not the above examples

Thanks in advance, love your lessons!

angeldelrey

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