ABS05 - 2005 Applied Bayesian Statistics School

BAYESIAN APPROACHES TO EVIDENCE SYNTHESIS 

AND DECISION MODELLING IN HEALTH CARE

Villa Monastero, Varenna (LC), Italy

5 - 9 June, 2005

Villa Monastero

Last update: 13/6/2005


CNR-IMATI (Istituto di Matematica Applicata e Tecnologie Informatiche at Consiglio Nazionale delle Ricerche) and the University of Pavia (DEPMQ), in cooperation with BAYSTAT, are planning to organise every year a School on state-of-the-art Bayesian applications, inviting leading experts in the field.

The topic chosen for ABS04, the 2004 school, was Statistics and Gene Expression Genomics: methods and computations and the lecturer was Mike West (Duke University, USA).

The topic chosen for the 2005 school is Bayesian Approaches to Evidence Synthesis and Decision Modelling in Health Care.

The lecturers are Keith R. Abrams, Nicola Cooper, Cosetta Minelli and Alex Sutton (Centre for Biostatistics and Genetic Epidemiology, University of Leicester, U.K.), Tony Ades and Nicky Welton (MRC Health Services Research Collaboration, University of Bristol, U.K.)

The school will explore the use of Bayesian approaches to meta-analysis and generalised evidence synthesis methods, and the integration of these within an economic decision modelling framework in order to facilitate health-care evaluation and health-care decision making.

The school will make use of lectures, practical sessions, software demonstrations, informal discussion sessions and presentations of research projects by school participants.

Information is available on

  • lecturers
  • school directors and organising committee
  • participants
  • programme
  • suggested prerequisites
  • reading
  • software
  • registration, deadlines and address for inquiries
  • registration form
  • hotels
  • tourist information
  • how to get to Varenna
  • ABS04 Summer School on Statistics & Gene Expression Genomics: methods and computations
  • BISP4 - Fourth Workshop on Bayesian Inference in Stochastic Processes, Villa Monastero, 2-4 June 2005