Mixed Models in statistics Course
1 - 3 July, Lausanne
More and more PhD students realize that they need this statistical tools to analyze their data, and a specific package, Ime4, for this model has been developed in R. The teacher of the course, Douglas Bates, is the author of this package and of several statistical books.
- Organizing and manipulating data in R.
- Random effects versus fixed effects
- Linear mixed models - simple examples
- Model specification and estimation with Imer
- Models for longitudinal data
- Statistical inference for linear mixed models
- Generalized linear mixed models for binaary, binomial or count data
- Nonlinear mixed models and generalized nonlinear mixed models
- Handling difficult estimation situations
- Model building for mixed models
Number of participants: maximum 30
Location: Lausanne, Unil Sorge, Amphipôle building, Room POL/204.2
Schedule: 9h00 - 18h30. On July 1st and 2nd the day will be divided in 6 teaching hours and 2 laboratory hours. On July 3rd: 3 teaching hours and 1 laboratory hour. During the afternoon the teacher will be available to answer questions from the participants.
Registration: Course is full !!
Coordinator of the Inter-University
Doctoral Program in Ecology and Evolution
University of Lausanne
Tel: +41 (0)21 692 4244
Fax: +41 (0)21 692 4165