Advanced Statistical Methods in Epidemiology
Date:
02/03/2015 - 04/03/2015
Organised by:
Soton ESRC DTC / S3RI / University of Southampton
Presenter:
Professor Dankmar Boehning
Level:
Advanced (specialised prior knowledge)
Contact:
Marie Lipscombe
ProfessionalTraining.FSHS@soton.ac.uk
023 8059 9036
Map:
View in Google Maps (SO17 1BJ)
Venue:
University of Southampton,
Southampton Statistical Sciences Research Institute,
Building 39,
Southampton
Description:
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.
Cost:
DTC students - £90.00 (£30.00 per day)
Registered Students - £300.00 (£100.00 per day)
Staff from academic institutions (including research centres)- £600.00 (£200.00 per day)
All other participants - £750.00 (£250.00 per day)
Website and registration:
http://store.southampton.ac.uk/browse/extra_info.asp?compid=1&modid=5&deptid=39&catid=76&prodid=247
Region:
South East
Keywords:
Secondary Analysis, Regression Methods, Regression Analysis , Event History Analysis
Related publications and presentations:
Secondary Analysis
Regression Methods