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National Centre Epidemiology & Population Health · ANU College of Law, Governance and Policy
Data analysis is a central activity in applied epidemiology providing underlying evidence for public health policy formulation and action. The aim of the Analysis of Public Health Data course is to equip students with the knowledge and skills to analyse quantitative public health data. The course combines biostatistics theory with practical application of biostatistical methods.
Participation in the sessions in course blocks related to the course
Learning outcomes 1, 2, 3, 4
Development of a data analysis plan
Learning outcomes 1, 2, 4
Online quiz
Learning outcomes 2, 3, 4
The expected workload will consist of approximately 130 hours throughout the session including: - The face-to-face component will be delivered in intensive mode over one week, Monday - Friday 9am - 5pm (total 35 hours). - Approximately 95 hours of self-directed study, including self-directed learning modules, and pre-reading before the intensive week, and assessments.
None Preliminary Reading Kirkwood, Betty R; Sterne, Jonathan A. C. Essential Medical Statistics (2nd Edition). Essential medical statistics. John Wiley & Sons; 2003. Gregg MB, editor. Field epidemiology (3rd edition). Oxford University Press, USA; 2008. Brunette K, Nelson A. Data Analysis Basics: Variables and Distributions. FOCUS on Field Epidemiology. Volume 3, Issue 5.