MPH2000

Regression methods for epidemiology ( 6 points, SCA Band 2, 0.125 EFTSL)

Leader: Dr R Wolfe

Offered:
MMS-ALFRED First semester 2006 (Day)

Synopsis: Practical application of statistical analysis of data for common epidemiological study designs. Focus on logical construction rather than mathematical formulation; ensuring applicability; computational methods and potential difficulties. Sample size selection, categorical data methods using stratification, confounding and effect modification assessment, linear and logistic and Poisson regression methods. Statistical software package used can bebpurchased at a discounted price.

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.

Homepage: www.med.monash.edu.au/epidemiology/postgrad/

Assessment: Class exercises + Written assignments

Contact Hours: 2 contact hours per week

Prerequisites: MPH1040 and MPH1041 or MPH1030 and MPH1031