9.1 Generalised linear modelling

Do not start here! The material covered in this chapter is best understood after having read linear regression (Chapter 7) and working with categorical outcome variables (Chapter 8).

Generalised linear modelling is an extension to the linear modelling we are now familiar with. It allows the principles of linear regression to be applied when outcomes are not continuous numeric variables.