CHL5210H Position Description
This course is designed to provide students with an understanding of the statistical methods used in categorical data analysis. These include traditional methods for two-way contingency tables (e.g. Chi-squared test, Fisher’s exact test). The majority of the course, however, will focus on regression models, with a particular emphasis on logistic regression models. Analysis of repeated categorical response data, namely marginal and random effects models will also be covered. Inference using maximum likelihood estimation will be emphasized. Both application and theory will be covered
Instructor: Tony Panzarella
Qualifications:
Must understand the statistical principles underlying the analysis of categorical data and where there are deficits in understanding have the background to read and review, with my help, issues such as probability distributions, link functions and maximum likelihood estimation. Must have experience with SAS.
Duties:
TAs responsibilities includes: a) grading assignments and tests; b) preparation and running of tutorials;
Relevant Criterion:
Previous experience is the more relevant criterion than the need to acquire experience in respect of this posted position.