The course starts with a short revision of multiple linear regression and generalised linear models, followed by an introduction to linear mixed effects models and generalised linear mixed effects models (GLMM) to analyse nested (also called hierarchical or clustered) data, e.g. multiple observations from the same animal, site, area, nest, patient, hospital, vessel, lake, hive, transect, etc.
In the second part of the course GLMMs are applied on continuous, binary, proportional and count data using the Gaussian, Poisson, negative binomial, Bernoulli, binomial, beta, beta-binomial, gamma, generalised Poisson, and the Conway-Maxwell Poisson distributions.
We will also discuss how to add temporal or spatial correlation structures.
We will be using nlme, lmer and glmmTMB.
19 - 23 February 2018
Provided by: Highland Statistics Ltd (in cooperation with: cE3c - CCIAM, Faculty of Sciences, University of Lisbon, Portugal)
Venue: PT Meeting Centre, R. Bojador 47, Parque das Nações, Lisbon, Portugal
Price: 550 GBP - 20% discount for FCUL students: voucher code NIOZ1819
Instructors: Dr. Alain Zuur and Dr. Elena Ieno
Registration: http://www.highstat.com / highstat@highstat.com (Dr Alain F Zuur)
Payment via credit card or bank transfer
