ENBIS-18 in Nancy2 – 25 September 2018; Ecoles des Mines, Nancy (France) Abstract submission: 20 December 2017 – 4 June 2018
Post-Conference Course: Exploring Mixed Models Through Case Studies5 September 2018, 14:00 – 18:00
This half-day ENBIS-18 post-conference workshop will be given by Tim Robinson and Volker Kraft and can be booked here.
This workshop provides an introduction to linear mixed models and generalized linear mixed models using case studies. Generalized linear mixed models (GLMM) have become standard fare for analyzing clustered/correlated data from exponential family member probability distributions (presence/absence data, count data, exponential data and normal data). The workshop emphasizes the applications of these models but when necessary, an intuitive theoretical framework is developed. JMP Pro 14 and R will serve as the statistical software packages for working through examples. Specific objectives of the workshop are to:
- Identify situations in which linear models, linear mixed models, generalized linear models and generalized linear mixed models are appropriate for modeling.
- Understand the difference between fixed and random effects.
- Understand the difference between subject-specific and population-averaged effects in a mixed model.
- Perform basic power analyses to evaluate competing sampling plans for hierarchical data.
Utilize JMP and R for running linear models, linear mixed models, generalized linear models and generalized linear mixed models.
All participants will get free access to JMP Pro 14 and are invited to bring their Windows or Mac computers to interactively explore the concepts of linear models, GLMs and mixed models. For GLMMs, R will be needed (please pre-install with packages tidyverse, lme4, nlme, lattice).