Pre-conference Workshop: ‘Mixed Effect Models using R’

Torino – New dates to be confirmed

Brief description of the workshop

Aim of the workshop is to provide an overview on Mixed Effect Models in R – the free software environment for statistical computing. The workshop will start from basic applications of linear regression models and will explain how they can be extended to linear mixed effect models, showing their potentials for data analysis. The workshop will focus on all the critical issues that should be taken into account when using mixed effect models. Other advanced topics will be also covered, including plotting, and further extension of mixed models (as generalized additive models).

Theoretical and practical sessions will be held by Giorgio Arcara – Coordinator of MEG Lab at IRCCS San Camillo Hospital, Venice, Italy.

Target audience

This workshop is meant for researchers interested in learning how to use Mixed Effect models in data analysis.

The course material is appropriate for researchers with a basic knowledge of R (vectors, data. frames, how to import data in R). Familiarity with basic statistical analysis is also recommended.

We advise you to bring your own laptop with R already installed. We recommend installation of Rstudio user interface.

Tentative Program

9.30 – 10.00  Welcoming and Introduction

10.00 – 13.00  Introduction to Linear models. From Linear regressions models to mixed effect models. How to interpret mixed effect models (both theoretical and practical sessions).

13.00 – 14.15  Break

14.15 – 15.45  Critical aspects running mixed effect models

15.45 – 16.00  Break

16.00 – 18.00  Advanced topics. Plotting mixed effect models. Generalized mixed effect models. Generalized additive models.

The workshops are organized with the support of the Turin University Neuroscience PhD Program

Click here for: 2020Pre-Conference Workshops – Registration 

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