Statistical methodology for the design and analysis of epidemiological studies is a fast-changing field.
Participants will be given a thorough grounding both in classical methods of analysis and in the more advanced regression techniques, and will gain practical experience of data analysis using the computer package Stata. Various aspects of study design will also be considered.
Who should attend?
Applicants should have a good command of English and a working knowledge of basic epidemiology and statistics, equivalent to a familiarity with the contents of introductory textbooks such as:
- "Epidemiology in Medicine" by C H Hennekens and J E Buring (Little Brown & Company, 1987)
- "Essential Medical Statistics" by B Kirkwood & J Sterne (2nd Edition, Blackwell Science Ltd, 2003)
The course is taught in Stata and we require students to have experience of statistical analysis using Stata (for example, linear regression). The course is designed primarily for those working, or planning to work, on epidemiological research projects.
The emphasis of this course will be on developing an understanding of the underlying assumptions and principles, on the practical application of the techniques and on the correct interpretation of the results, rather than on the mathematical derivation of the methods. The methods will be illustrated through studies of the epidemiology of both infectious and non-infectious diseases, conducted in both developed and in developing countries.
This short course is studied online on for two weeks. Participants should expect to spend approximately 4 hours a day on the course. Of these, 1-2 hours will be recorded lectures and 2 hours will be a computer practical to be taken at the same time for all participants (11am-1pm GMT).
The course will be taught by members of the Faculty 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.
The fee for 2021 is £1,800 and includes a Certificate of Attendance.
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
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 45 participants will be accepted.