The course covers a range of models for Normal and non-Normal data, including techniques for checking model assumptions and choosing appropriate models. It also helps you recognise most statistical methods you use are really special cases of a linear model. You will learn a systematic approach to key steps in statistical analysis (like assumption checking) and develop skills in handling more complex situations you might encounter in future.
Introduction to Regression Modelling in R
Calendar of Events
19 October 2019
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