Applied Generalized Linear Models (GLM) using R
>eR-BioStat
The course is focused on both practical and theoretical aspects of generalized linear models and presents topics which are discussed in
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Collet D (1994): Modelling Binary data.
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Lindsey (1997): Applying generalized linear models.
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Dobson (2002): An introduction to generalized linear models.
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McCillagh and Nelder (1983): Generalized linear models (first edition).
The course was developed as a master level course.
This is an open source course and all source files used to produce the slides are available online (in PP, Tex or Rmd formats).
About
General information about the course and course materials and the study methods used in the course.
Topics
In this page, the course is presented in a typical slides format. The course consists of 14 chapters (organized in two parts) for which the slides are available online and can be downloaded for free. All examples are implemented in R.
Online tutorials
In this page, the online books, online tutorials (in both PDF and html formats) and YouTube tutorials are available. All examples are illustrated in R and R code is a part of the books/tutorials.
The >eR-BioStat initiative
This course was developed as a part of the >eR-BioStat initiative. More courses can be found in https://erbiostat.wixsite.com/erbiostat.
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Course developer: Tadesse Awokem Fetene Tekle, Said Musa and Ziv Shkedy.
Website developer: Ziv Shkedy.
Email: ziv.shkedy@uhasselt.be