Introduction to Logistic Regression

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Start - End
26 Nov - 27 Nov
Study Options
75 - 150
Contact Name
Centre for Applied Statistics Courses
Contact Email

26 November 2020–27 November 2020, 9:30 am–12:45 pm

This one day course focuses on understanding the principles of logistic regression via the notions of odds/odds ratios and transformations. How good the given model is will be discussed and ways of improving it.

NOTE: Due to the coronavirus outbreak, all courses will now be delivered online through a live video feed. You can expect the same level of group and individual support as you would have received in our face-to-face courses.

Binary (proportion/percentage) outcomes are common in medical and scientific research and cannot be validly analysed using basic linear regression analysis. It is important to understand how to analyse these types of outcomes appropriately to ensure useful and valid conclusions are drawn from data. The logistic regression course covers the following key topics:

  • Odds ratios as a means of comparing binary outcomes between two groups
  • How logistic regression allows for other factors within this comparison
  • The basics of logistic regression
  • Model selection and goodness-of-fit with applied examples
  • Interpretation of SPSS output

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