Dear All
Please find below some information relating to a forthcoming course to be held at the S3RI Institute (University of Southampton) that may be of interest to you, If you would like a session outline, please email me and I can send this out to you.
Advanced Statistical Methods in Epidemiology
Date: 29th February – 2nd March
Location: S3RI Building 39, UoS, Highfield Campus
Summary of course
This course will focus on the application of statistical methods specially developed for epidemiological study data.
Course objectives
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. The course will include a mixture of lectures and practical workshops using the software STATA.
This course is aimed at researchers who want to perform statistical modelling and analysis of epidemiological study data. Participants may be academic researchers in the medical and health or social sciences or may work in government, pharmaceutical industry, or other parts of the private sector.
Course Presenter:
Professor Dankmar Böhning
*To register for the course online please follow the link below:
http://store.southampton.ac.uk/browse/extra_info.asp?compid=1&modid=5&deptid=39&catid=76&prodid=247&coursedate=1407
For more information on the S3RI short courses programme look at:
http://www.southampton.ac.uk/s3ri/cpd/index.page?
Kind Regards
Andrew Cox
Administrative officer
Professional Training Team
SAA (Social, Human and Mathematical Sciences)
University of Southampton
Room 2037, Building 58, Highfield, Southampton SO17 1BJ, UK
Tel: +44 (0)23 80599036
Fax: +44 (0)23 8059 5763
E-mail: [log in to unmask]
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