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

Prerequisites

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.

Presented by

Steve Bowe, PhD, Senior Researcher Biostatistics

Mohammadreza Mohebbi, PhD, Senior Researcher Biostatistics

Register Here

Please note: courses may be subject to cancellation if insufficient number of participants have registered.

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