The BIAS project

Bayesian methods for combining multiple Individual and Aggregate data Sources in observational studies.

BIAS, based at Imperial College, London, is a node of the Economic and Social Research Council's National Centre for Research Methods (NCRM). BIAS I was funded between April 2005 and June 2008 under the first phase of node commissioning. BIAS II is currently funded by the second commissioning phase from July 2008 to June 2011.

The aims of the project are

To develop a set of statistical frameworks for combining data from multiple sources.
To improve the capacity of social science methods to handle the intricacies of observational data.

Bayesian hierarchical models will be used as the basic building blocks for these developments. These offer a natural tool for linking together many different sub-models and data sources.

Find out more about the research programme
Discover the research training opportunities offered.

Latest News

Course on Introduction to Bayesian analysis using WinBUGS will be coming soon in Spring 2010.

Course: Introduction to graphical models and Bayesian networks for social scientists (15-16 October 2009)

Seminar: Mixing econometrics and epidemiology (9th March, Imperial College, St Mary's Campus) (presentation slides are now available)

Course on Introduction to Bayesian analysis using WinBUGS (28-30 January, 2009)

Dr. Jassy Molitor has been awarded the SIE young investigator award at the Joint Statistical Meeting 2008

Course on Gaussian Markov Random Fields

New book on Spatial Data Analysis (with R)