This is a QCIF course and places are highly limited as Graduate School is paying the fee. If you are unable to attend, please de-register (or email graduateschool@uq.edu.au if you are unable to do so). An unexplained absence could result in all your future QFAB registrations becoming Waitlisted.

Recommended Participants

The hands-on workshop is relevant for all disciplines, although examples and exercises will focus on biological datasets. Researchers who are dealing with longitudinal data and wish to understand how to analyse them effectively. The workshop is relevant for all disciplines, although examples and exercises will focus on biological datasets. Prior expertise with R and the command line interface is required to a level equivalent of that provided by the R for Reproducible Scientific Research workshop, as the basics of R will not be covered. Participants are expected to have a basic familiarity with the concepts of statistical hypothesis testing and regression analysis.

Syllabus

●Introduction to principles of longitudinal data analysis

●Introduction to linear mixed models using specific R packages

●Understanding the basics of fixed and random effects, and how to choose them

●Run models in R

●Data interpretation and visualisation from such analyses

Prequisites and pre-workshop preparation

About Statistics and modelling

If your research study employs quantitative or mixed methodologies, you would need to understand the nuts and bolts of statistics and modelling. The Graduate School works with different providers to provide a range of sessions covering descriptive and inferential statistics as well as modelling with esteemed providers such as ISSR and Student Services.

Useful links