Overview

This online, self-paced course provides and introduction to logistic regression, a common analysis technique for binary (proportion/percentage) data.

Course content

The course will cover the following 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
• Discussion of extension to the analysis of ordinal outcomes

Who it's for

The course is for anyone who needs to understand logistic regression, either for their own research or to understand results reported by others.

This could include:

• postgraduate students and staff from UCL and other universities
• those working in industry, the public sector, charities and think tanks
• members of the public looking to build up their skills

Teaching and structure

The course consists of a series of sessions, which you'll need to complete in order.

Each session provides:

• video and written materials
• a quiz to check your understanding
• a 'checkpoint' activity to help you reflect on your learning
• a forum where you can ask questions

Finally, there is also an exercise in reading, critically appraising and interpreting a research paper using logistic regression analysis.

Learning outcomes

By the end of the course you should be able to:

• identify contexts in which logistic regression is appropriate
• discuss the theoretical basis of logistic regression
• interpret output produced by SPSS when fitting logistic regression models
• use the goodness-of-fit measures to choose between competing models
• evaluate model fit
• interpret and critically appraise results published in papers using logistic regression

Cost and concessions

The standard price is £75.

A 50% discount is available for UCL staff, students, alumni. If you're eligible for a discount, email ich.statscou@ucl.ac.uk before booking to be sent the discount code.

Certificates

You can download a certificate of participation once you have completed all the session quizzes.

Find out about other statistics courses

CASC's stats courses are for anyone requiring an understanding of research methodology and statistical analyses. The courses will allow non-statisticians to interpret published research and/or undertake their own research studies.

Find out more about CASC's full range of statistics courses.

Course team

Dr Dean Langan - Course Lead

Dean works as a lecturer, jointly based within the School of Life and Medical Sciences (SLMS) and the Centre for Applied Statistics Courses (CASC) at UCL. He has a Bachelor’s degree in Mathematics from University of Liverpool, a Master's degree in Medical Statistics from University of Leicester, and a PhD from University of York for his research in statistical methods for random-effects meta-analysis. He's worked as a statistician on a number of clinical trials related to stroke and myeloma at the Clinical Trials Research Unit in Leeds. His specialist areas include statistical methods for meta-analysis, R programming, clinical trial methodology and research design.

Course information last modified: 22 Apr 2024, 11:17