Course Content

The topics to be covered will include:

• Measuring health and disease
• Data and distributions 
• Study design: ecological and cross-sectional studies 
• Study design: cohort studies  
• Study design: intervention studies 
• Study design: case-control studies 
• Introduction to data analysis 
• Errors, biases & confounding 
• Measures of effect and impact 
• Statistical inference  
• Analysis of categorical data 
• Confounding and stratification 
• Analysing quantitative data 
• Errors in exposure and outcome measurements 
• Prevention strategies 
• Sample size and power 
• Epidemiology to Policy 
• Regression and correlation 
• Introduction to logistic regression 
• Infectious disease epidemiology 
• Multiple regression 
• Sampling  
• Systematic reviews and meta-analysis 

Comprehensive notes will be given to participants, but the following books are recommended for those interested in further reading:

• Webb P and Bain C. Essential Epidemiology: An introduction for Students and Health Professionals. Cambridge University Press. 2011.
• Bailey L, Vardulaki K, Langham J and Chandramohan D, Introduction to Epidemiology, Open University Press, 2005 (Understanding Public Health, Series editors: Nick Black and Rosalind Raine).
• Essentials of Medical Statistics (2nd Edition); B Kirkwood (Blackwell Publishing, 2003).

The course makes use of the STATA and R packages during some practical data analysis sessions.

There is no formal assessment, but at the conclusion of the course, a Certificate of Attendance will be provided. Approximately 30-60 participants will be accepted.