BayesModelling

Links for 2023 Course:

Main site (data, scripts, etc): https://github.com/adamtclark/BayesModellingUG

Lectures:

• Lecture 00: Introduction to the course

• Lecture 01: Using priors in your analyses

• Lecture 02: Introduction to mixed effects models in nlme

  • Lecture 02 homework

  • Dataset 2 for homework (you'll need to download this file using the "download" button on the top right side of the window)

• Lecture 03: Models with random slopes and intercepts

  • Lecture 03 homework

  • Dataset 1 for homework

• Lecture 04: Nested random effect structures

  • Dataset 2 for homework

• Lecture 05: Mixed effects models in lmer and brms

  • R script

  • Dataset

  • Video

• Lecture 06: Common confounders in causal inference

• Lecture 07: Dealing with correlated predictors

  • Scripts and slides

Forum:

The link below goes to a forum where I will leave messages about the course - you can also use it to discuss ideas and questions with me, and among yourselves.