Applied Bayesian Statistics in Medical Research and Health-Care Evaluation

SSPH+ PhD Program in Public Health / Swiss Tropical - and Public Health - Institute (Swiss TPH)
26.03.2012 - 28.03.2012  Bern, Switzerland
Course Content
The Bayesian approach to medical research offers a flexible framework allowing for the incorporation of new information and evidence as it accrues. Although Bayesian statistics is often perceived and discussed as controversial, this course is not about controversies, but about pragmatic ways of integrating available information in a coherent fashion. The course is building on applied problems and exercises that require the participants to bring their own portable computer.
Learning objectives, training objectives
To understand the role of Bayesian statistics in medical research
and health-care evaluation, trial monitoring, and prediction
To provide sources for detailed information on Bayesian methods
To provide insight into available computational tools
Participants should have a good understanding of basic biostatistical and epidemiological principles with regard to data analysis and study design. Further, participants should know how to interpret parameters and results from standard data analyses using linear and generalised linear models.
SSPH+ COurse Certificate
Local Organizer
SSPH+ PhD Program Public Health
Requirement: Participants should bring their own laptop with a Windows operating system (NT2000 or later). Instructions will be sent prior to the course in order to install the software which we will use in the course (WinBUGS and R)

Enquiries and Registration:

Ms. Sina Henrichs
Public Health, Statistics
3 Days
Credit Points
1 ECTS - Points
SSPH+ Students 0.— Other PhD students 300.— Other academics 850. — Others 1250. —
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