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GSMS 2020 - An introduction to Bayesian statistics

Jorge N. Tendeiro October 29, 2020

This is a 2-hour workshop for the Graduate School of Medical Sciences at the UMCG, Groningen. It takes place online (and perhaps also in-location; tba) from 15:00 on October 29, 2020.

I aim at offering a gentle introduction to Bayesian statistics. During the first half, the most important concepts are introduced. In the second hour, I will illustrate the richness of Bayesian analyses by means of a worked-out empirical application. I will be as visual as possible, so the idea is to keep the technicalities to a minimum.

All code is freely available from Github. The slides are available here:

All analyses are fully reproducible. I used R (with RStudio as the graphical user interface). The following R packages will be used and should be installed in case you want to mimic the analyses shown on the slides:

  • magrittr
  • knitr
  • psych
  • car
  • heplots
  • emmeans
  • rstan
  • bayesplot
  • gridExtra
  • loo
  • bridgesampling
  • rstanarm

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