Mixed Models in statistics Course

1 - 3 July, Lausanne

Trainer

Douglas Bates

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.

Topics covered:

• 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

General information

Category: M
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.
ECTS: 1

Registration: Course is full !!

Contact

Elisa Piaia
Coordinator of the Inter-University
Doctoral Program in Ecology and Evolution
Biophore building
University of Lausanne
Tel: +41 (0)21 692 4244
Fax: +41 (0)21 692 4165
E-mail: elisa.piaia(at)unil.ch