This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak.

This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.

TIME ZONE – Western European Time – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhooker@psstatistics.com for full details or to discuss how we can accommodate you).

Course Overview:

This course provides a general introduction to nonlinear regression analysis using generalized additive models. As anM introduction, we begin by covering practically and conceptually simple extensions to the general and generalized linear models framework using polynomial regression. We will then cover more powerful and flexible extensions of this modelling framework by way of the general concept of basis functions, which includes spline and radial basis functions.

We then move on to the major topic of generalized additive models (GAMs) and generalized additive mixed models (GAMMs), which can be viewed as the generalization of all the basis function regression topics, but cover a wider range of topic including nonlinear spatial and temporal models and interaction.