In-Person Delivery (University of Birmingham, 52 Pritchatts Road G19 Computer Cluster: What3Words https://w3w.co/drift.wire.dance) 

Aimed at:  All Years (Previous experience using R required - see below)

Duration:  2.5 days

CENTA Training Credits:  5

Training Area(s): Theme Science and Technical Skills

***PLEASE NOTE: AT THE TRAINER'S REQUEST, THE WEDS SESSION WILL NOW ONLY RUN FROM 9-11am**

This short course (delivered by Prof Adrian Bowman, Emeritus Professor of Statistics in the University of Glasgow) introduces the statistical modelling concept of random effects, to describe the multiple layers of variability which can often occur in experimental data. This idea will be explored in a variety of different contexts and data structures. Approaches to fitting mixed-effects models, where random and fixed effects are combined, will be outlined and tools for building and interpreting models in the statistical computing environment R will be described. There will be a strong emphasis on engaging with these concepts in a practical manner, using R to analyse a range of different examples and data contexts. This will include normal and binomial error distributions, in linear, non-linear and generalised linear mixed-effects models.

The prerequisites for the course include familiarity with standard statistical concepts for quantifying uncertainty, such as confidence intervals and hypothesis tests, and a general understanding of the construction and use of linear regression models, along with some experience in using R.

All participants: please bring your own laptop and ensure any required programmes have been pre-installed before the workshop. See note from trainer: In order to engage with the practical work, participants should bring a laptop with R, RStudio and the rpanel package installed. Links and details are provided at https://statistical-modelling.netlify.app/section-getting-started-with-r.”

***This is CENTA organised training; if you are a CENTA student you may reclaim your expenses to attend this training in line with the University of Birmingham Expenses Policy. All others should consult with their own funder's regulations.***
If you book onto this course and then find later you are unable to attend, please let us know so your space may be offered to others.