Introduction to Multiple Linear and Logistic Regression Models

Location: Burwood Corporate Centre, Building BC, 2nd floor
Date: Thursday 24th August 2017
Time: 9:00am - 5:00pm

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 regression methods to deciphering the output of statistical analyses. We will cover the practical aspects of running regression models in the SPSS and Stata software environment. By the end of the day, participants will be able to:

  • understand the principles of regression methods and modelling strategies
  • report and present the output from such analyses
  • have experience in applying regression methods 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.

We will also provide details of a web-based introductory session in SPSS and Stata which participants can follow prior to the course. 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 regression approaches 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

Vacancies: 25

Registration link will go live on August 10th

Last updated:
Page custodian: Faculty of Health