Introduction to Linear Regression Models
Wednesday, 8 May 2019, 10am-4pm, Burwood Corporate Centre
This full day workshop aims to increase participants understanding of the principles, methods, and interpretation of regression models, with particular application to health research. The scope of the workshop runs from basic principles of linear regression to deciphering the output of statistical analyses. We will cover the practical aspects of running multiple linear regression models and ANCOVAs in the SPSS and Stata software environment.
By the end of the day, participants will be able to:
- understand the principles of linear regression and modelling strategies
- report and present the output from such analyses
- have experience in applying multiple linear regression to health data in SPSS / Stata
Participants are expected to have a basic familiarity with the concepts of analytic epidemiology, descriptive statistics and elementary statistical hypothesis testing. Exercises will be based on SPSS / Stata and some prior experience with this software would be an advantage.
Participants are encouraged to bring their own laptop with SPSS or Stata installed. The SPSS and Stata codes required to complete the exercises will be provided.
Who should attend?
PhD students and early career researchers within the Faculty of Health who are considering using multiple linear regression (e.g. ANCOVA) in their research. The day would suit people currently involved in, or about to start, postgraduate study and other researchers who wish to expand their quantitative research skills.
Steve Bowe, PhD, Senior Researcher Biostatistics
Mohammadreza Mohebbi, PhD, Senior Researcher Biostatistics
Please note: courses may be subject to cancellation if insufficient number of participants have registered.