Linear regression using R
In this online workshop, we will explore how to use R for conducting linear regression analyses. Learning outcomes include:
- Fitting a linear model
- Interpreting coefficients
- Assessing model assumptions
- Evaluating the model’s fit using diagnostic tools like residual plots.
Workshop Preparation
An installed and working copy of R and R Studio is required on participants’ laptops prior to the workshop. Follow instructions provided here.
Facilitator Bio
Sahar Khademioore is a PhD candidate in the Health Research Methodology program at McMaster University with a background in midwifery. She supports researchers in data analysis using statistical software such as R, SAS, and SPSS, research methodology, and evidence synthesis (including systematic reviews).