Practical Statistics for Epidemiology using R

Practical statistics for epidemiology using R is intended for those who have been exposed to the field of epidemiology.

Prior knowledge of epidemiological measures of association such as prevalence, odds, risks, rates and their ratios is required.

This is the companion and follow-on course from our Introduction to epidemiology short course.

It is aimed at researchers who use epidemiological data and work alongside statisticians. No prior experience with statistics or statistical software is required, although some experience in a numerate discipline may help participants understand the topics presented.

During the week-long course, participants will be introduced to:

• processing and visualising epidemiological data using the statistical programme R
• interpreting hypothesis tests, p values, and statistical power
• use of statistical models for population surveys, case-control studies, and prospective studies
• statistical techniques to assess and address bias and confounding
• appropriate presentation of epidemiological results
• statistical methods for meta-analysis
• interpreting and critiquing statistical evidence from epidemiological studies.

£250 for OU students, £500 for OU staff/external students, £750 for external academics.

For more details: ndph.ox.ac.uk/study-with-us/practical-statistics-for-epidemiology-using-r