Categorical Data Analysis (PUBH5212)
UNIT OF STUDY
In this unit the biostatistical concepts covered in earlier units are extended to cover analysis of epidemiological studies where the outcome variable is categorical. Topics of study include: testing for trend in a 2 x r contingency table; the Mantel-Haenszel test for the combination of several 2 x 2 tables, with estimation of the combined odds ratio and confidence limits; multiple logistic regression; Poisson regression; modelling strategy. The assignments will involve practical analysis and interpretation of categorical data. Data analyses will be conducted using statistical software (SAS).
Our courses that offer this unit of study
- Graduate Certificate in Clinical Epidemiology
- Graduate Diploma in Clinical Epidemiology
- Graduate Diploma in International Public Health
- Graduate Diploma in Public Health
- Master of International Public Health
- Master of Medicine (Clinical Epidemiology)
- Master of Public Health
- Master of Public Health (Professional Practice)
- Master of Science in Medicine (Clinical Epidemiology)
- Master of Surgery (Surgical Sciences)
Further unit of study information
1 x 2hr lecture, 5 x 1hr lectures, and 5 x 1hr tutorials over 6 weeks. Students studying in distance mode must have access to a computer running a version of Microsoft Windows compatible with the latest version of SAS.
1x 3 page report (30%) and 1x 8 page report (70%)
Course notes are provided.
Faculty/department permission required?
Unit of study rules
Prerequisites and assumed knowledge
Study this unit outside a degree
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