ENBIS-18 Post-Conference Course: Exploring Mixed Models Through Case Studies5 September 2018; 14:00 – 18:00; IECL, Faculté des Sciences, Vandoeuvre-lès-Nancy
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).
Tim Robinson is the Director of the WWAMI (Washington, Wyoming, Alaska, Montana, Idaho) Medical Education Program and is a Professor of Statistics at the University of Wyoming. He holds a Ph.D. in Statistics (Virginia Tech) and has extensive experience in both statistical consulting and teaching. Tim is a Fellow of the American Society for Quality (ASQ) and a Fellow of the American Statistical Association. His research interests include hierarchical modeling, sampling design, experimental design, statistics education, data science, and robust parameter design.
Volker Kraft is Senior Academic Ambassador for JMP in Europe, fostering and supporting the use of JMP in teaching and research. He holds a Ph.D. in Electrical Engineering (University Bochum, Germany), and used statistical methods extensively in his research in psychoacoustics and speech communication. In later positions at Vodafone and Voxeo he developed a passion for customer advocacy, developing and supporting programmes to foster the effective use of software in business. Drawing on this experience and the success of JMP's Academic Program globally, Volker is charged with enabling teachers, faculty and students in Europe who are interested in JMP to get the most from the software.