Categorical Data Analysis M

Course aim

To provide an introduction to modern methods of statistical analysis of categorical data, including logistic regressions and log-linear models.

Course content

The exponential family of probability distributions; generalised linear models; logistic regressions; log-linear models and contingency table models; survival analysis; generalised linear mixed model; special topics.

Textbook(s)

Agresti, A 2002, Categorical Data Analysis, Wiley, New York

Prerequisite(s)

Common to all relevant programs
Subject Area & Catalogue Number	Course Name
MATH 1036	Statistical Methods
MATH 2020	Statistical Foundations

MATH 1036 Statistical Methods and MATH 2020 Statistical Foundations, or equivalent

Corequisite(s)

Nil

Teaching method

Component	Duration
INTERNAL, CITY WEST
Lecture	3 hours x 13 weeks
Tutorial	N/A x N/A
Computer Practical	1 hour x 12 weeks
Directed Study	N/A x N/A

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Assignment 1, Assignment 2, Examination

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 1)
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.