Introduction to Bayesian Analysis
Jun 19, 2017 10:00 AM
End: Jun 19, 2017 04:30 PM
This one day course focuses on the principles of Bayesian analysis with the aim to enable participants to apply Bayesian methods on their own research and understand other people’s results via Bayesian analysis.
Bayesian analysis is an alternative approach to the statistical techniques that are commonly used throughout most of the research world for the analysis of data. It’s core principle stems for the idea that experiments are not abstract devices, hence knowledge existent prior to an experiment should be incorporated formally and openly in the analysis.
This course is aimed at professionals who want to be able to understand the fundamental principles of the Bayesian analysis in order to assist their own research as well as interpret other people's findings. By the end of this workshop, delegates should be able to understand and critically evaluate published research that has used Bayesian analysis as well as be confident to implement Bayesian concepts in their own research.
It is desirable for the course participants to have basic knowledge of statistics, i.e. notion of statistical inference, p-values and Confidence intervals.
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.
“Very well designed and conducted courses. Very interesting and clear. I definitely recommend.” “I decided go to London from Sao Paulo/Brazil to visit the city and to take this course. The result was that I'm happy with this great introduction of Bayesian Analysis and I'll recommend this course to all my colleagues in Brazil.” “Always taught well, I like the professors friendly manner and that she doesn't talk down to you and understands that we want to know the concepts not the maths.” “I think the course was great and the prof was very good.” "The speaker came off as incredibly knowledgeable about the topic and gave succinct and clear answers to the questions being asked. The materials were also nicely organised, and the format of the notes will (I believe) make it easy to return to the material at a later point in time. This was my first of these stats courses, and I would definitely attend another.” "The presenter was excellent and explained everything very clearly.”