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Advanced Course in Epidemiological Analysis

Overview
Overview - Advanced Course in Epidemiological Analysis
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Course dates: 2 - 13 September 2019

Statistical methodology for the design and analysis of epidemiological studies is a fast-changing field. Participants in this intensive two-week course will be given a thorough grounding both in classical methods of analysis and in the more advanced regression techniques. Participants 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 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.

Course fee

The fee for 2019 is £2,950.00

Course objectives
Course objectives - Advanced Course in Epidemiological Analysis
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Course Content

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. 

Teaching Methods

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.

How to apply
How to apply - Advanced Course in Epidemiological Analysis
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Applying for this course

Please complete the ONLINE APPLICATION FORM

Please read LSHTM's Admissions policies prior to submitting your application.

Short courses - visas, accommodation, disclaimer
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Visas

The student is responsible for obtaining any visa or other permissions to attend the course, and is encouraged to start the application process as early as possible as obtaining a visa for the UK can sometimes take a long time. The Short Courses team can provide supporting documentation if requested.

Accommodation and meals

A list of hotels located in the vicinity of LSHTM, along with further resources for short term accommodation, can be found on our accommodation pages. Lunch and a drink and snack for both coffee breaks will be provided. Evening meals are not catered for at LSHTM, however there is a large choice of restaurants, cafés and shops nearby.

Important information

Please note:

  • If you have been offered a place on the course you will not be able to register without bringing formal ID (Passport/UK photo driving license) and without having obtained the correct visa if required.
  • It is essential that you read the current visa requirements for short course students.
  • LSHTM may cancel courses two weeks before the first day of the course if numbers prove insufficient.  In those circumstances, course fees will be refunded.
  • LSHTM cannot accept responsibility for accommodation, travel and other losses incurred as a result of the course being cancelled.