Generalised Linear Mixed Models with Applications in Medicine short course
This new short course will focus on the application of generalized linear and generalized linear mixed models for medical applications with a binary or count outcome. Topics will include simple and more complex hierarchical data structure such as measurements on patients (for example length of stay in hospital) 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 generalized linear model and extend it generalized linear mixed models to cope with potentially nested fixed and random effects simultaneously. 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 generalized linear model or generalized 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.
This course will run from Thursday 21 - Friday 22 November lead by Professor Dankmar Boehning .
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