Fitting Models to Data Not Data to Models—Eight Workshop Series

You might have heard someone say that “all models are wrong, but some are useful”. The best way to ensure models are useful is to choose a model that is appropriate to your data and research questions, rather than forcing your data to fit your model’s assumptions (e.g., normality, independence, constant variance).

This series introduces early-career researchers to statistical models that extend beyond linear models (i.e., ANOVAs) so that they may learn how to *fit models to their data rather than fitting their data to models*. All workshops will use `R` and RStudio, so some experience with `R` or other programming languages is encouraged but not required. See the R Fundamentals for Data Analysis for an introduction to `R` and RStudio. Attendees who do not have experience with `R` are encouraged to review this content or take the introductory workshop concurrently if it’s being offered.

This workshop series features eight individual workshops. You can either register for the whole series or register for individual workshops that are most applicable to you.

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Questions?  Contact csc.ok@ubc.ca