Erasmus Summer Programme Courses
Take a look at all the courses in the Erasmus Summer Programme, and find the course right for you.View all ESP courses
Introduction to Bayesian Methods in Clinical Research [ESP68]
14 August 2017
18 August 2017
Monday to Friday (full days)
From 8:45 till 16:00
Prof. Emmanuel Lesaffre
Erasmus MC, Rotterdam NL
Basic statistics, experience with regression models, experience with R.
Online, download instructions will be sent in August by e-mail.
Laptop is required.
E. Lesaffre and A. Lawson
John Wiley & Sons, New York, 2012
Apply for this course?
Design your programme
Try using our Programme Configurator to design and plan your own programme.Configurator
It gave me a competitive advantage in my research careerRead the full story
Detailed information about this course:
Faculty: Prof. Emmanuel Lesaffre, PhD
This course provides an introduction to Bayesian methods with an emphasis on the intuitive ideas and applications. The course treats the basic concepts of the Bayesian approach, such as the prior and posterior distribution and their summary measures (mean, median, credible interval, etc), the posterior predictive distribution and the Bayes factor. In addition, Bayesian methods for model selection and model evaluation will be treated. The Bayesian approach will also be compared, both conceptually as well as practically, with the classical frequentist approach. Markov Chain Monte Carlo techniques are introduced and exemplified in a variety of applications.
The Bayesian approach will be illustrated in clinical trials, epidemiological studies, meta-analyses, diagnostic testing, agreement studies, etc. WinBUGS and OpenBUGS will be used as software. But also the use of their interfaces with R, i.e. R2WinBUGS and R2OpenBUGS will be illustrated.
Course format: In the first three days of the course the Bayesian concepts will be explained. Theory and exercises will then be mixed depending on the topic. The final two days will be devoted to particular application areas and have largely a practical flavor. In addition the application of the Bayesian methodology in the medical literature will be highlighted.