This workshop is designed to increase participants' understanding of statistical relationships between data. It introduces principles and methods of regression models using R, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and includes practical sessions giving hands-on experience with regression analysis in R.

N.B. Prior knowledge of R and RStudio is mandatory as the basics of R will not be covered. Please do not register unless you have this experience. Participants will also need to be familiar with the basic concepts of statistical hypothesis testing.

FAQs

What should I bring into the event?

This is an online workshop, so you will need to provide your own computer with R and RStudio pre-installed, and have access to a reliable internet connection sufficient for video conferencing. A second monitor is highly recommended.

Chromebooks and tablets are not suitable for this workshop; you will need a full-function computer.

What prior experience do I need?

Prior experience with R and the RStudio interface is required, as the basics of R will not be covered. Participants are expected to have a basic familiarity with the concepts of descriptive statistics and elementary statistical hypothesis testing. Beginners in R shoud consider the course Introduction to Programming: R for Reproducible Scientific Analysis.

Who should attend?

Researchers wanting to expand their skills into regression methods and for those considering using regression approaches in their research.

How can I contact the organiser with any questions?

You can email training@qcif.edu.au

What's the cancellation policy?

Cancellations are accepted up to three working days before the start of the workshop. If you do not join on the day without having cancelled beforehand, you may be blocked from attending any future QCIF training workshops.