Highfield campus
Southampton Statistical Sciences Research Institute is based on the main campus of the University opposite the Mur...
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Summary of course
This three-day course is aimed at academic researchers in the medical and health or social sciences or who may work in government, the pharmaceutical industry, or other parts of the private sector who want to perform statistical modelling and analysis of epidemiological study data.
Course Code
S3RIASME
Course Dates
10 April 2017 - 12th April 2017
Course Presenter
Professor Dankmar Boehning
Course Description
Topics will include the basic disease occurrence measures of prevalence and incidence with their role in surveillance including standardization, Mantel-Haenszel estimation of various effect measures including the risk ratio and risk difference for cohort studies and the odds ratio for case-control studies as well as Poisson and logistic regression to adjust for potential confounders simultaneously.
The course will also include elements of time-to-event analysis including Kaplan-Meier estimation and Cox’ proportional hazards model for confounder adjustment and will comprise of a mixture of lectures and practical workshops using the software STATA.
Participants are expected to have a good working knowledge of simple statistical methods, including a good understanding of estimation of parameters including confidence intervals, hypothesis testing and p-values. No familiarity with the software STATA is required.
Course fees
£300 Registered students
£600 Academic
£750 All other particpants
Duration
10th April 2017 - 12th April 2017
Venue Details
University of Southampton,
Southampton Statistical Sciences Research Institute,
Building 39,
Southampton,
SO17 1BJ
Additional Information
Participants will need to make their own accommodation arrangements.
https://southampton.likn.co/aboutus/whereissoton/
You can also contact our Professional Training Team
Email:
[email protected]
Telephone: 023 80 59 9036
Southampton Statistical Sciences Research Institute is based on the main campus of the University opposite the Mur...
Find out more