Participants will gain practical experience of data analysis using the computer package Stata. Various aspects of study design will also be considered.
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.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.
You can apply until:
Always verify the dates on the programme website.
The course makes use of the Stata package throughout. The topics to be covered will include:
This programme requires students to demonstrate proficiency in English.Schedule IELTS
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:
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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