Mixed (hierachical) Models in R

Lecturers Dr. Michel Philipp (UZH)
Certificate Confirmation of participation

Novice and advanced R users from all professional groups

  • CHF 600.- for members of UZH/ETH and associated institutes
  • CHF 800.- for alumni of UZH/ETH, members of other universities, the public sector and non-profit organizations
  • CHF 1200.- for companies
Persons without current employment can register for the UZH/ETH fee upon request.

This two-day course will cover a practical introduction and exercises to
fitting and interpreting mixed (hierarchical or multilevel) models in R
using lme4 and other packages:

  • Brief repetition of linear, logistic and ordinal regression
  • Identifying and visualizing grouped data
  • Fitting and interpreting random intercept and slope models
  • Testing fixed and random effects, measures of effect size- Checking model assumptions
  • Fitting and understanding complex models with three levels or crossed-random effects
  • Approaches for non-normal responses (e.g., binary or ordinal)
  • Short outlook to generalized additive mixed and growth mixture models


Basic familiarity with R syntax and some experience with data analysis
in R (loading data, fitting models, using the built-in graphics
functions). Familiarity and some practical experience with regression


May 3-4, 2018

  After registering you will receive a short automatic confirmation by email. If you received this email you are successfully and bindingly registered for the course. For administrative reasons the written invoice won't be sent out until about two weeks before the course.