Prerequisites: (STAT 203 or STAT 335) and (STAT 303 or STAT 308).
An introduction to modern-day extensions of simple linear regression and ANOVA to the chi-square test including logistic regression and log-linear modelling techniques based on generalized linear models. Methods for matched-pair, small datasets, ordinal and multi-category data also discussed. This course focuses on applications using real-life data sets, and uses popular software packages.
Outcomes: Students will obtain an extensive background in the applications of categorical data analysis methods.
An introduction to modern-day extensions of simple linear regression and ANOVA to the chi-square test including logistic regression and log-linear modelling techniques based on generalized linear models. Methods for matched-pair, small datasets, ordinal and multi-category data also discussed. This course focuses on applications using real-life data sets, and uses popular software packages.
Outcomes: Students will obtain an extensive background in the applications of categorical data analysis methods.