Advanced Statistical Methods in Epidemiology
Date: 10th April – 12th April
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/short-courses/southampton-statistical-sciences-research-s3ri/courses/advanced-statistical-methods-in-epidemiology?token=d596b4e345a9e5b5b5deee7b8be2b918
For more information on the S3RI short courses programme look at:
http://www.southampton.ac.uk/s3ri/cpd/index.page?
Please, do not hesitate to contact me should you require any further information or assistance.
Kind Regards
Andrew
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