DPH6002 - Statistical methods for public health

Leader(s): A/Prof Rory Wolfe

Offered

Clayton First semester 2009 (Day)
Alfred Hospital First semester 2009 (Day)

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 completion of this subject, students will be able to:

1. describe the statistical principles of sample selection and a range of multi-variable methods of statistical analyses typically encountered in public health research;
2. proficiently plan and perform statistical analyses using a software package;
3. recognise the statistical issues in the design and analysis of a public health research project and propose a strategy for their implementation;
4. critically appraise the statistical methodology in public health research articles; and
5. coherently explain the statistical concepts and results in written and oral formats.

Assessment

Mid semester assignment 33%
end of semester assignment 67%

Contact hours

2 contact hours per week

Prerequisites

MPH1040 or MPH1041 or MPH1030 and MPH1031 or ECX9720