Monash University Handbook 2010 Postgraduate - Unit

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 reates, Stata statistical software.

Objectives

On successful completion of this unit students will have:

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

Assessment

Two written assignments (50% each)

Chief examiner(s)

Associate Professor Rory Wolfe

Contact hours

2 x 2 Block days.

Prerequisites

MPH1040 and MPH1041 or MPH1030 and MPH1031

Additional information on this unit is available from the faculty at:

http://www.med.monash.edu.au/epidemiology/pgrad