Modeling Count Data with Poisson Regression
This course introduces regression methods that are appropriate to analyse count or rate data. Poisson regression is used to determine associations between a count/rate outcome and a number of predicto
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.
Details
When dealing with a count or rate outcome variable, basic linear regression is inappropriate as it will lead to invalid predictions. Poisson regression is an extension of the ideas used in linear regression that allows counts or rates to be validly modelled against chosen predictor variables.
This course explores how poisson regression models are formulated, interpreted and checked using worked examples. The course also details how poisson regression can be extended when the strict assumptions are not met (introducing quasi poisson and negative binomial models).
Please note that this course does not involve hands-on use of a statistical package, results will be given in the notes and care has been taken to ensure they are comprehensible regardless of which statistical package delegates are used to. The course assumes a basic understanding of statistical concepts such as p-values and confidence intervals.
Fees
Course fees
| 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
Please note that no refunds will be given for non-attendance or cancellations made within 5 working days of the start of the course. For delegates attending courses on funded places, a £50 fee will be charged for late cancellation, non-attendance or partial-attendance.
Future dates
| Dates | Time | Apply |
| TBC | 9.30am - 17.00pm | Subscirbe to our Mailing List |
^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.
Feedback
It's great to be taught by someone who not only enjoys the content but also enjoys sharing her knowledge. And in a way that is comprehensible, which is a skill, really! Many thanks.
Sophie was very clear and enthusiastic!
Very good presentation, clear explanation. Excellent course materials. Good answering of questions. Helpful to have examples of papers and questions to work through to test knowledge.
Excellent, well done!
Generally an excellent course and very well taught.
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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
£150.00
Open to
All
Availability
Yes