Course: Extended mixed effects regression models

Course description

The merlin package can do a lot of things. From simple linear regression to a spline-based survival model, from a three-level logistic model, to a multivariate joint model of multiple longitudinal outcomes, a recurrent event and survival. merlin can do things I haven’t even thought of yet. It’s a flexible framework for modelling any number of outcomes (each of any type), with any number of levels, and any number of random effects at each level, allowing for simple or complex non-linear effects, extended linking between outcome models, and much more. merlin is easily extended by the user, providing a platform for methodological and software development. In this course, I will take a single dataset of patients with primary biliary cirrhosis and show you the range of merlin’s capabilities. The course will consist of lectures and practical exercises, which will be provided in both Stata and R.

Further details and examples of merlin can be found here:

Lecture topics - slides available here

  • Lecture 1: An introduction to merlin
  • Lecture 2: Linear mixed effects models
  • Lecture 3: Survival models
  • Lecture 4: Joint modelling of longitudinal and survival data
  • Lecture 5: User-defined/custom models
  • Lecture 6: Wrap-up and future development

Previous times this course has run

  • Pre-conference course at the 7th Channel Network Conference of the International Biometrics Society, 10th - 12th July 2019


comments powered by Disqus