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DPH6002 - Statistical methods for public health

6 points, SCA Band 2, 0.125 EFTSL

Postgraduate Faculty of Medicine, Nursing and Health Sciences

Leader: A/Prof Rory Wolfe


Alfred Hospital First semester 2007 (Day)
Clayton First semester 2007 (Day)


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.


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.


Mid semester assignment 33%
end of semester assignment 67%

Contact hours

2 contact hours per week


MPH1040 or MPH1041 or MPH1030 and MPH1031 or ECX9720