Statistical Modelling and Classification of binary outcomes with Logistic Regression
This course focuses on understanding the principles of logistic regression via the notions of odds/odds ratios and transformations.
NOTE: This course will be delivered in hybrid mode, i.e. the in-person lecture will be transmitted live on zoom. The face-to-face part of the hybrid courses will go ahead conditional on at least 5 participants registering for this mode of delivery. Few classes may be delivered exclusively online, so please check under the Future dates tab for clarification. The online part of the class will be supported by its own dedicated teaching staff (along with the lead lecturer), therefore participants can expect the same level of group and individual support as the face-to-face class. You will be able to choose your preferred mode of attendance (face-to-face or online) during registration.
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:
Details
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
Fees
Course fees (live)
| External Delegates (Non-UCL) | £200.00 |
| UCL Staff and Students | £100.00 * |
| UCL Alumni | £100.00 |
| 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) | £75 |
| UCL Staff, Students, Alumni | £37.50 * |
| Staff from ICH/GOSH, and doctoral students † | 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 ich.statscou@ucl.ac.uk to confirm your eligibility and receive a code that can be entered at the checkout.
† If you are a doctoral student from UCL, 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 |
| TBC 2026 | 9.30am - 5.00pm^ | Mailing List |
^For those attending online, we recommend logging in 10 minutes prior to the scheduled start time to access materials and ensure the course can start promptly at 9.30am.
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 ich.statscou@ucl.ac.uk 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.
Click to Register (online, self-paced)
Alternatively, if you are a doctoral student from UCL, you can get access to this, and all other self-paced courses developed by CASC by filling in this online form.
Feedback
“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.”
Link
Mailing list
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Bespoke courses
If you are part of a team/organisation that would like statistics training, we can arrange extra dates for our existing courses or prepare something more bespoke.
Come to 6 day-courses, get a 7th free!
Once you have attended 6 short-courses, you’re ready to claim your 7th day-course for free (please email us to make this arrangement). Our longer introduction course counts as three towards this total.
Contact
Please see our FAQ page before making an enquiry.
Email:
Recommended for general queries/payments:
ich.statscou@ucl.ac.uk
Phone:
For general queries/payments:
+44 (0) 20 7905 2768
Address:
Centre for Applied Statistics Courses (CASC)
UCL Great Ormond Street Institute of Child Health
30 Guilford Street
London, WC1N 1EH
Other useful links
- GOS ICH Statistical Support Service
- On-demand UCL Extend self-paced courses
- Royal Statistical Society
- Instats
Link
Further information
Ticketing
Open
Cost
£200.00
Open to
All
Availability
Yes