Introduction to Logistic regression
May 12, 2017 10:00 AM
End: May 12, 2017 04:30 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.
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
All CASC courses take place in central London, in or close to the Institute of Child Health. Specific details of the course venue will be supplied after registration.
External Delegates (Non-UCL) £125.00
UCL Staff, Students, Alumni £62.50 *
ICH/GOSH Staff and Doctoral Students 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, ICH/GOSH Staff and Doctoral Students can still register at the UCL rate.
Prices include printed course materials, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm)
Please note that no refunds will be given for cancellations made within five working days of the course start date or for non-attendance, and for individuals attending the course on a funded place, a fee will be charged for late cancellation/non-attendance according to the same time frame. This fee is needed to cover printing, catering, etc. costs that are ordered no later than 5 days before the course and are based on the number of people registered at that point in time.
“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.”