Introduction to Logistic Regression
10 February 2022–11 February 2022, 9:30 am–1:00 pm
This 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.
Centre for Applied Statistics Courses
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.
Additionally, we now offer this as a self-paced, online course that you can register for and start at any time. Click below under the 'Online/Self-Paced Materials' tab to register and gain access:
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
Course fees (live)
External Delegates (Non-UCL) £150.00 UCL Staff, Students, Alumni £75.00 * Staff and Doctoral Students from ICH/GOSH FREE †
* Valid UCL email address and/or UCL alumni number required upon registration. Please note, this category does not include hospital staff unless you hold an official contract with the university.
† Limited free spaces available. If there are no free places remaining, Staff and Doctoral Students from ICH/GOSH can still register at the UCL rate.
Cancellations: Cancellation Policy
Course fees (self-paced)
Below are the fees for access to the online, self-paced version of this course.
External Delegates (Non-UCL) £100 UCL Staff, Students, Alumni £50 * Staff from ICH/GOSH, and doctoral students from ICH and SLMS † FREE *
* A valid UCL email address and/or UCL alumni number required. Please note, this category does not include hospital staff unless you have a formal affiliation with the university. To get this discount, please email email@example.com to confirm your eligibility and receive a code that can be entered at the checkout.
† If you are a doctoral student from SLMS (School of Life and Medical Sciences), you can get access to this, and all other self-paced courses developed by CASC by filling in this online form.
- Future Dates
Dates Time Apply
10 - 11 February 2022
9.30am - 1.00pm ^
9 - 10 June 2022 9.30am - 1.00pm Book now
^We recommend logging in 10 minutes prior to the scheduled start time to access materials and ensure the course can start promptly.
- Online/Self-Paced Materials
An online, self-paced version of this course is available that includes the following materials:
- Full electronic notes
- Short lecture videos (recorded outside of the classroom) that follow closely with the notes
- Interactive multiple choice quizzes for each chapter
- Extended practical exercises (with solutions) for further comprehension
Support: The course includes unlimited support through a forum that will be manned by one of our teaching fellows. We aim to provide responses to all questions on Tuesday and Friday each working week. Note that questions can only relate directly to the course materials and should not be used as a consultancy service for your own projects.
Personalised certificates will be generated on completion (when you pass the multiple choice quizzes).
UCL extend: The link below leads to the UCL extend store where this self-paced course is available for purchase. If you are eligible for a discount, then please email firstname.lastname@example.org to receive a voucher code that can be used on checkout. UCL delegates should use their university email address to register, and external delegates can use any other account.
Alternatively, if you are a doctoral student from SLMS (School of Life and Medical Sciences), you can get access to this, and all other self-paced courses developed by CASC by filling in this online form.
"I thought this course was excellent and the speaker was fantastic."
"I got a great deal from the day because I had previously studied logistic regression on my own - the course helped consolidate my understanding. The lecturer showed much enthusiasm for the topic and had a very friendly personality. I was a teacher and lecturer myself for 33 years and could have learnt much from her presentation skills! The course was excellent value for money"
"The course was appropriately structured. Teaching quality was superb. I am very much looking forward to attending further sessions here."
"The course is well designed. The pace is pitched at the right level. The tutor was excellent. Her style of interactive teaching was very effective. Her lectures were very clear. She was engaging and was able to explain some of the difficult concepts in a simplified manner."