In this module we study how to analyse data that are not normally distributed. We look at fractions (logistic regression), counts (Poisson regression, log-linear models), ordinal data (threshold models), and overdispersion. We discuss (quasi-) maximum likelihood estimation and the deviance. In computer practicals participants can familiarize themselves with models and methods. The main statistical software used in this course is R.
Former occurrences of this course
15-17 June 2022 | 17-16 June 2021 | 15-16 June 2020 | 20-21 June 2019 | 14-15 June 2018 | 26-27 June 2017 | 20-21 June 2016 | 15-16 June 2015 | 16-17 June 2014 | 13-14 June 2013 | 14-15 June 2012 | 9-10 June 2011 | 28-29 June 2010