Linear and Logistic Regression Models
This workshop aims to increase participants understanding of the principles, methods, and interpretation of regression models, with particular application to health research.
The course is aimed at researchers in the health sciences who are considering using regression approaches in their research. The course would suit people currently involved in, or about to start, postgraduate study and other researchers who wish to expand their quantitative research skills into regression methods.
Venue:Part One Burwood Campus, Room B 2.20 (Blue Room)
Part Two Burwood Campus, Room B 4.05
Time: Part One: Wednesday, 9 April 2014 11:00 - 14:50 Part Two: Friday, 11 April 2014 10:00 - 13:50
The scope of the course runs from basic principles of regression methods to deciphering the output of statistical analyses, and also covers the practical aspects of running these regression methods in the SPSS / Stata software environment.
By the end of the course, 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
Exercises will be based on SPSS / Stata and some prior experience with this software would be an advantage. We will provide details of a web-based introductory session in SPSS / Stata which participants can follow prior to the course. Participants are encouraged to bring their own laptop with SPSS / Stata installed. The SPSS / Stata code required to complete the exercises will be provided. Participants are expected to have a basic familiarity with the concepts of analytic epidemiology, descriptive statistics and elementary statistical hypothesis testing.