网络彩票APP下载_澳客彩票网-官方游戏

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网络彩票APP下载_澳客彩票网-官方游戏, Statistical Sciences Research Institute

Advanced Statistical Methods in Epidemiology

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 网络彩票APP下载_澳客彩票网-官方游戏,,
网络彩票APP下载_澳客彩票网-官方游戏, Statistical Sciences Research Institute,
Building 39,
网络彩票APP下载_澳客彩票网-官方游戏,,
SO17 1BJ

Additional Information
Participants will need to make their own 网络彩票APP下载_澳客彩票网-官方游戏, arrangements.
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You can also contact our Professional Training Team
Email: ProfessionalTraining.FSHS@soton.ac.uk
Telephone: 023 80 59 9036

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网络彩票APP下载_澳客彩票网-官方游戏, Statistical Sciences Research Institute is based on the main campus of the University opposite the Mur...

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