Postgraduate - UnitDPH6002 - Statistical methods for public health

This unit entry is for students who completed this unit in 2013 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

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6 points, SCA Band 2, 0.125 EFTSL

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Level	Postgraduate
Faculty	Faculty of Medicine, Nursing and Health Sciences
Organisational Unit	Department of Epidemiology and Preventive Medicine
Offered	Alfred Hospital First semester 2013 (Off-campus)
Coordinator(s)	A/Prof Rory Wolfe

Synopsis

Confounding and effect modification, logistic regression, conditional logistic regression for matched case-control studies, linear regression, diagnostics to assess model fit, model estimation methods, Poisson regression for rates, Stata statistical software.

Outcomes

On successful completion of this unit students will have:

learnt regression methods as applied to epidemiological data.
gained an understanding of regression methods in terms of the epidemiological concepts of confounding and effect modification.
the skills to apply regression methods to example datasets using statistical software on a laptop computer.
gained an understanding and the skills to interpret regression methods in published articles on epidemiological research studies.