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ÌýNOTE:ÌýThis 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 aÌýself-paced, online courseÌýthat you can register for and start at any time.ÌýClick below under the 'Online/Self-Paced Materials' tabÌýto registerÌýand 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 groupsÌýÌý
• How logistic regression allows for other factors within this comparisonÌýÌý
• The basics of logistic regressionÌýÌý
• Model selection and goodness-of-fit with applied examplesÌý
• Interpretation of SPSS output

Fees

Course fees (live)

External Delegates (Non-¹û¶³Ó°Ôº)	£150.00
¹û¶³Ó°Ôº Staff and Students	£75.00 *
¹û¶³Ó°Ôº Alumni	£75.00
Staff and Doctoral Students from ICH/GOSH	FREE â€

* Valid ¹û¶³Ó°Ôº email address and/or ¹û¶³Ó°Ôº 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 ¹û¶³Ó°Ôº rate.

Cancellations:ÌýCancellation PolicyÌý

Course fees (self-paced)

Below are the fees for access to the online, self-paced version of this course.Ìý

External Delegates (Non-¹û¶³Ó°Ôº)	£75
¹û¶³Ó°Ôº Staff, Students, Alumni	£37.50 *
Staff from ICH/GOSH, and doctoral students â€	FREEÌýâ€

* A valid ¹û¶³Ó°Ôº email address and/or ¹û¶³Ó°Ôº 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 emailÌýich.statscou@ucl.ac.ukÌýto confirm your eligibility and receive aÌýcode that can be entered at the checkout.

†ÌýIf you are a doctoral student from ¹û¶³Ó°Ôº, you can get access to this, and all other self-paced courses developed by CASC by filling in .

Future Dates

Dates	Time	Apply
11th February 2025	9.30am - 5.00pm^

^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:ÌýThe 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).

¹û¶³Ó°Ôº extend:ÌýThe link below leads to the ¹û¶³Ó°Ôº extend store where this self-paced course isÌýavailable for purchase. If you are eligible for a discount, then please emailÌýich.statscou@ucl.ac.ukÌýto receive a voucher code that can be used on checkout. ¹û¶³Ó°Ôº delegates should use their university email address to register, and external delegates can use any other account.

Alternatively, if you are aÌýdoctoral student from ¹û¶³Ó°Ôº, you can get access to this, and all other self-paced courses developed by CASC by filling inÌý.

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."