Recent Developments in Biostatistics:
Space-Time Models
held at the Institut für Medizinische Informationsverarbeitung,
Biometrie und
Epidemiologie, Medizinische Fakultät, Ludwig-Maximilians-Universität
München, Germany.
Course contents
This course introduces concepts of spatial statistics and explains
their relevance for modern epidemiological thinking. The students gain
knowledge about Gaussian models for geostatistical Data, parameter
estimation, and spatial prediction. They will be introduced to simple
models for Bayesian disease mapping. Furthermore, methods for spatial
point pattern analysis are discussed. The course closes with an outlook
on space-time data. The methods will be applied to an
epidemiological example. Students will also practice how to handle
spatial data in R and GIS systems and will work with WinBUGS to create
incidence maps for diseases.
Time:
7th–9th & 12th–13th July
2010. From 9:15 – 17:00 each day.
Location:
Library (K U1 831), IBE, Klinikum
Grosshadern. Directions can be found here.
Intended Audience:
MA students in epidemiology
MA students in public health
BA in Statistics (5-6th semester),
MA in
Statistics and MA in Biostatistics students are welcome and can get the
6 ECTS accredited in their programs (as Ausgewählte Gebiete der
Biostatistik/ Theoretischen Statistik) by an informal application to
the registrar's office (=Prüfungsamt) .
Interested guests are also welcome
Language:
English
Speakers:
Sonja Greven,
Department of Statistics, Ludwig-Maximilians-Universität
München, Munich
Michael
Höhle, Robert Koch Institute, Berlin, and Department of Statistics,
Ludwig-Maximilians-Universität
München, Munich
6 ECTS – Students have
to pass a written exam and to work through a data problem
(homework) in order to complete the course successfully.
Exam date:
Either 30th July 2010 or 20th August
2010. The exact date is to be decided by a majority vote of the course
participants on the fourth day of the course. The written report for
the data problem has to be handed in mid September 2010.
