The University of New South Wales

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Categorical Data Analysis - MATH5945
Science students

 
Faculty: Faculty of Science
 
 
School:  School of Mathematics and Statistics
 
 
Course Outline: http://www.maths.unsw.edu.au/
 
 
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.

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© The University of New South Wales (CRICOS Provider No.: 00098G), 2004-2011. The information contained in this Handbook is indicative only. While every effort is made to keep this information up-to-date, the University reserves the right to discontinue or vary arrangements, programs and courses at any time without notice and at its discretion. While the University will try to avoid or minimise any inconvenience, changes may also be made to programs, courses and staff after enrolment. The University may also set limits on the number of students in a course.