Generalized Linear Mixed Models
|
Objective
The purpose of the course is to provide students an introduction to
generalized linear mixed models. The course will include a review of
linear models and linear mixed models. In the course we will examine
the univariate generalized linear models, such as the logistic,
multivariate generalized linear models, such as the threshold and
nonlinear regression, and generalized linear mixed models. Techniques
to be explored include maximum likelihood, penalized quasi-likelihood,
and Markov chain Monte Carlo.
PROC IML will be used for examining the underlying mechanics
of the estimation procedures.
Course Info
| Instructor: | Steve Kachman |
| Office: | 355B Hardin Hall
Department of Biometry University of Nebraska-Lincoln |
| Date: | June 18-29, 2001 |
| Location: | 203 Kildee Hall, Iowa State University |
| Lectures: | 9:00-11:00 and from 2:00-4:00 |
| Sponsored by: | USDA-Animal Biotechnology and Quantitative Genetics, graduate
fellowship program
ISU Animal Breeding and Genetics Group |
| Iowa State Web Site: | http://meishan.ansci.iastate.edu/rohan/GLMM/index.html |
