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  GenStat  ~  Short Course : Linear Mixed and GLMM with Applications in Me

Andrew Cox
Posted: Mon Oct 08, 2018 2:56 pm Reply with quote
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*With apologies for cross posting*
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:


Linear Mixed Models and GLMMs with Applications in Medicine
Professor Dankmar Boehning


12th December – 14th December 2018, University of Southampton

This course will provide an overview of the current ideas in linear mixed models and generalized linear models and their manifold medical/health applications. Linear mixed models are of interest when there is a continuous outcome occurring in studies with simple and more complex hierarchical data structure such as such as nested fixed or random effects. Generalized linear mixed models are of interest when there is a binary or count outcome to be analysed in studies with potentially complex data structure.

Course objectives:

Topics will include simple and more complex hierarchical data structure such as repeated measurements on patients within wards within hospitals, crossed and nested effects, fixed and random effects as well as random coefficient models. The course will give an introduction to the linear mixed model as well as to the generalized liner mixed model and highlight its ability to cope with potentially nested fixed and random effects simultaneously. Data structures with repeated measures in time will also be touched upon. All models will be illustrated at hand of study data. The course will include a mixture of lectures and practical workshops using the software STATA.
The course is aimed at researchers who want to perform linear mixed model analysis and/or need to analyse hierarchically structured study data. Participants may be academic researchers in the Medical and Health or Social Sciences sector or may work within the Government, pharmaceutical industry, or other parts of the private sector.
Participants are expected to have a good working knowledge of simple statistical methods, including a basic understanding of regression and analysis of variance. No familiarity with the software STATA is required.

Register online at: http://go.soton.ac.uk/8v5
Or Contact:
Andrew Cox
S3RI Short Courses Administrator
Room 2003, Building 44, University of Southampton,
Southampton
Email: ProfessionalTraining.FSHS@soton.ac.uk

Kind Regards
Andrew

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