Statistical comparisons using R (DSCRP) [webinar]

This is a DSCRP course and places are highly limited. 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 DSCRP registrations becoming Waitlisted. You may only attend the workshop once. Repeat bookings will be removed and placed on the Waitlist.

This hands-on workshop guides participants in selecting and applying the appropriate statistical tests for their data, introducing key principles of inferential statistics using R. Participants will learn how to perform and interpret common hypothesis tests for widely used models, including correlation, contingency tables, chi-square tests, t-tests, and ANOVA.

Recommended Participants

This workshop is designed for researchers from any discipline who want to understand how to select the right statistical test for their specific context and perform the analysis independently in R. While the content is broadly applicable, examples and exercises will focus on biological and clinical datasets.

Note: Prior experience with R and the command-line interface is essential, as introductory R concepts will not be covered.

Learning Outcomes

• Choosing the appropriate statistical tests based on the data and your research questions
• Conduct inferential statistical analyses using R
• Create plots, figures, and tables of test results using relevant R packages
• Interpret and report findings from commonly used statistical tests

Workshop Topics

• An introduction to hypothesis testing terminology
• Correlation analysis between two continuous variables
• Statistical tests for both categorial and continuous variables
• ANOVA - testing with more than two groups

While you are waiting, get started with R and RStudio:

• Essential R resources - a list of key resources on R
• Links to materials used in the Centre for Digital Scholarship's different R courses
• Key R tutorials on LinkedIn Learning

NOTE: You may also want to consider attending the R sessions in the Library. See the Library's training link for more information on the latest sessions.