Categorical Data Analysis - MATH5945

   
   
   
 
Campus: Kensington Campus
 
 
Career: Postgraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.12500 (more info)
 
 
Indicative Contact Hours per Week: 2
 
 
Fee Band: 2 (more info)
 
 
Further Information: See Class Timetable
 
 

Description


The course gives a methodological background for categorical data analysis. Topics include dependence measures and various designs in contingency tables; generalised linear models; logistic regression; Poisson regression; logit and log-linear models. The generalised likelihood ratio testing approach is applied for choosing suitable models. Logistic regression with polytomous responses and application of categorical data analysis for studying categorised time-to-event data. SAS-based computing feature prominently.