Summer school on advanced Bayesian methods

The Interuniversity Institute for Biostatistics and statistical Bioinformatics organizes for the second time a summer school on Bayesian methods. During one week, two courses will be taught on specific topics in Bayesian methodology. The focus is on Bayesian methods that are relevant for the applied statistician. Special attention will be devoted to novel statistical methodology.

In the second edition of the summer school the following two courses will be organized in Leuven from 24 to 28 September 2018:

• Three-day course (24-26 September) on Bayesian Parametric and Nonparametric Methods forMissing Data and Causal Inference by Dr. Michael Daniels (University Florida, US)
• Two-day course (27-28 September) on Bayesian Methodsin Health Economic Evaluation by Dr. Gianluca Baio (University College London, UK)

The target audience of summer school are statisticians and/or epidemiologists with a sound background in statistics, but also with background in Bayesian methodology.

In both courses, practical sessions are organized, so participants are asked to bring along their laptop with the appropriate software (to be announced) pre-installed.

Details about the courses are obtained by clicking on the respective links.

Location

The course will take place in Hotel Park Inn by Radisson Leuven, Belgium. Please note that a stay in the Hotel Park Inn by Radisson is not included in the registration fee.

Hotel accomodation

If you need a hotel accomodation, Hotel Park Inn by Radisson has reserved 15 rooms for participants of the summerschool. Please fill in the form and arrange your stay with the hotel directly. Other options of accomodation can be found on the Visit Leuven site.

Registration

To register, please fill in the registration form.

Cancellation policy

If cancelled before 31 July 2018, a full refund will be given.

If cancelled after 31 July 2018 but before 31 August 2018,  a 50% refund will be given.

For cancellations after 31 August 2018 no refund will be given.

Support

The courses are supported by