Mixed (hierachical) Models in R

Lecturers	Dr. Michel Philipp (UZH)
Certificate	Confirmation of participation
Target audience	Novice and advanced R users from all professional groups
Costs	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.
Course language	English
Course description	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 Prerequisites 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 modeling.
Dates	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.