Advanced Course in Epidemiological Analysis

The course makes use of the Stata package throughout. The topics to be covered will include:

• Measures of disease frequency and exposure effects
• Confounding and interaction
• Classical methods of analysis for cohort studies
• Classical methods of analysis for case-control studies
• Unconditional logistic regression
• Poisson regression for cohort studies
• Survival analysis and proportional hazards regression
• Practical issues in study design and analysis
• Conditional logistic regression for case-control studies
• Clustering of data in epidemiological studies
• Strategies of analysis.

Teaching will be through lectures, discussions and practical sessions. There will be a strong emphasis on practical exercises involving participants in the use of computer software to analyse illustrative data-sets from a variety of epidemiological studies.

Comprehensive course notes will be given to participants at the beginning of the course. The following books will also be available for purchase during the course, if in print:

• "Statistical Models in Epidemiology" by D Clayton & M Hills
• "Survival Analysis: A Practical Approach" by D. Machin, Y. B. Cheung, M. Parmar
• "Essential Medical Statistics" by B Kirkwood & J Sterne
• " Statistical Methods in Cancer Research" by N E Breslow & N E Day
• Volume 1: Analysis of case-control studies
• Volume 2: The design and analysis of cohort studies

There is no formal assessment but at the conclusion of the course, a certificate of attendance will be provided. Approximately 75 participants will be accepted.

The course will be taught by members of the Facutly of Epidemiology & Population Health of the London School of Hygiene & Tropical Medicine. The School is well known as a leading international centre for epidemiological research. Staff have considerable experience in the design and analysis of epidemiological studies both in developed and in developing countries.