The BIAS project
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
- 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.
A course on
Bayesian Approaches to
Handling Missing Data will be held at Imperial College London
(St Mary's Campus, Paddington) on 30 January, 2011.
- A course on
methods for analysis of combined individual and aggregate social
science data, at Oxford University, 21 March, 2011.
- Two short courses in applied
Bayesian methods and data analysis skills at CCSR, University of
Bayesian Analysis, Date: 16th February 2011
Hierarchical Modelling, Dates: 17-18th February 2011
- Our recently proposed space-time detection method
is featured in the NCRM
Winter issue of MethodsNews newletter, 2010.
- Short courses on "Introduction to Bayesian
analysis using WinBUGS" and "Bayesian Spatial Analysis of Small Area
Data using WinBUGS/GeoBUGS & INLA" were held at Imperial College
London, July 13-16 2010.
- The Special Issue of Statistical Methodology on Statistical Methods for
Statistics and the Social Sciences, honoring the 10th anniversary of the Center
for Statistics and the Social Sciences (CSSS) at the University of Washington,
has just been published. The publisher, Elsevier, has now decided to
make it freely available online for
a limited time. There is also a short video introduction to the issue.
- Dr. Guangquan (Philip) Li has been awarded a Young
Academic Award for participation to the CRiSM workshop on Model
Uncertainty, May 2010.
- A forthcoming Master class on New Bayesian Methods for Model Comparison (jointly sponsored by the BIAS node and the Lancaster-Warwick-Stirling node), to be held at
The Postgraduate Statistics Centre, Department of Maths and Statistics,
Lancaster University on 29th March 2010.
For more details, please visit the course website.
- Course: Introduction to graphical models and Bayesian networks for social scientists (15-16 October 2009)