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Bayesian Hierarchical

Bayesian Hierarchical Modeling with R/BUGS

The course is for researchers, who need to analyze data with a hierarchical or multi-level structure, missing values, imprecise measurement data, complex correlation patterns and other complexities found in practice. Bayesian hierarchical models offer a natural approach to handling these types of problems by the construction of statistical models which reflect the complexity of the data.

In this course we make emphasis in visualizing and exploring hierarchical data by using powerful graphical tools in R. The model building is performed by using Bayesian graphical models and computations by linking OpenBUGS (or JAGS) software with R.

Participants should be familiar in classical data analysis, ideally they should have some experience in applying mixed effects models (e.g. by using R, SPSS or SAS). To attend the course you do NOT need experience with Bayesian analysis, R or with OpenBUGS, these topics are covered during the first day of the course.

This is a 3 days intensive training course with 8 hours per day including lecturing and exercises. The course presentation is practical with many worked examples. Lectures are given in English. Discussions can be in English, German or Spanish.

This course is very popular with students and post-graduates. Therefore, we are offering a special reduced price for students..


3 days, 998.00 € + 19% vat = 1,187.62 €

Full eight clock hours per day, complete set of literature, WiFi, complimentary notebook, full board, drinks (selected wines are charged separately), pastries, homemade cakes, sauna, social program

Extended/reduced amenities on demand:

Surcharge per guest night in two bed rooms (spacious and comfortable rooms) 59.00 € + 7% vat = 63.13 €per night
Surcharge per guest night in the Linuxhotel-flat share 83.00 € + 7% vat = 88.81 €per night
Surcharge per guest night in single rooms (depending on availabity, early reservation recommended) 129.00 € + 7% vat = 138.03 €per night
Reduction for half board instead of full board accomodation -29.41 € + 19% vat = -35.00 €per day
Reduction w/o social program -8.40 € + 19% vat = -10.00 €per evening

Tax deductibility * Terms of cancellation


27/04 - 29/04/17 week 17 registration Bayesian Hierarchical
select your favourite reservation date


Dr. rer. nat. Pablo E. Verde arbeitet auf dem Gebiet der statistischen Modellierung in der medizinischen und klinischen Forschung, aktuell in der Evidenz-Synthese (Meta-Analysen). Er leitet die Arbeitsgruppe Biometrie im Koordinierungszentrum für klinische Studien der Heinrich-Heine-Universität Düsseldorf und forscht am Institut für Medizinische Soziologie der Heinrich-Heine Universität Düsseldorf. Er hat mehr als 20 Jahre internationale Erfahrung in statistischer Beratung, Forschung und Lehre auf den Gebieten Medizin, Landwirtschaft, Gesundheitsforschung und Risikoanalyse Finanz-Econometrie.

Pablo ist Experte der Statistiksoftware R und WinBUGS für MCMC Berechnungen. Seit 1998 ist er aktives Mitglied der R Community, wo er für die Übersetzung von R ins Spanische verantwortlich ist.

Seit 1990 lehrt er die Anwendung von S und R, zunächst für die Finanz-Branche, seit 2000 im akademischen Bereich.
Pablo ist visiting Lecturer am Department of Statistics an der Stanford University und seit 2007 Stanford community member. Seit 2000 ist Pablo Mitglied der Royal Statistical Society.

Course contents

Day 1: Introduction to Bayesian data analysis and R/BUGS

Day 2: Bayesian Hierarchical Modeling with R/BUGS

Day 3: Advance topics in Bayesian Hierarchical Modeling

Course schedule