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Unit of study_
PUBH5212: Categorical Data Analysis
2020 unit information
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).
Unit details and rules
Managing faculty or University school:
Medicine and Health
| Study level | Postgraduate |
|---|---|
| Academic unit | Public Health |
| Credit points | 2 |
|
Prerequisites:
?
|
PUBH5211 |
|---|---|
|
Corequisites:
?
|
None |
| Prohibitions:
?
|
PUBH5217 |
| Assumed knowledge:
?
|
None |
The learning outcomes for this unit will be available two weeks before the first day of teaching.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
There are no availabilities for this year.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
|
Semester 2 Early B 2020
|
Online | Camperdown/Darlington, Sydney |
Outline unavailable
|
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Modes of attendance (MoA)
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Important enrolment information
Departmental permission requirements
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You will be prompted to apply for departmental permission when you select this unit in Sydney Student.
Read our information on departmental permission.
