units

MPH5020

Faculty of Medicine, Nursing and Health Sciences

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This unit entry is for students who completed this unit in 2016 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.

Monash University

6 points, SCA Band 2, 0.125 EFTSL

Postgraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Medicine, Nursing and Health Sciences

Organisational Unit

Department of Epidemiology and Preventive Medicine

Coordinator(s)

Dr Miranda Davies, Professor Flavia Cicuttini

Offered

Alfred Hospital

Synopsis

Differences between descriptive & analytical epidemiology, strengths & weaknesses of different epidemiological study design & basic concepts & methods of biostatistics including confidence intervals, p-values & sample size, statistical tests for comparing groups, regression models & survival analysis. Design & evaluation of clinical trials.

Outcomes

  1. Explain how disease is measured in populations, calculate,interpret and communicate measures of association and difference;
  2. Critically analyse the strengths and weaknesses of different epidemiological study designs;
  3. Demonstrate an understanding of basic concepts and methods of biostatistics.
  4. Interpret confidence intervals, p-values and sample size and communicate their meaning.
  5. Use epidemiological and biostatistical principles to critically evaluate and interpret and communicate findings from epidemiological research.
  6. Explain and contextualise the concepts of population, sampling, measurement, bias, confounding and causation;

Assessment

Written assignment 1 (1500 words) 25%
Written assignment 2 (1500 words) 25%
Exam (MCQ/SAQ) (2.5 hours) 45%
Weekly online participation 5%

Chief examiner(s)

This unit applies to the following area(s) of study

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