Vanessa Didelez
My research deals with modelling of complex - high dimensional as well
as dynamic - systems based on graphical models. Applications are for
example in epidemiology, forensics, genetics or bio-medical research in
general. In particular, my research deals with using graphical models
for causal inference in such systems, i.e. when assessing the effect of
interventions is the target of inference.
I have been a lecturer at Univeristy College London from 2001-2007 and
am now a lecturer at the Univeristy of Bristol where I teach
multivariate analysis for undergraduates and graphical modelling for
postgraduates.
Department of Mathematics,
University of Bristol,
University Walk,
Bristol BS8 1TW
Email vanessa.didelez@bristol.ac.uk

Arvid Sjolander
My research in causal inference concerns sensitivity analysis and bounds for non-identifiable causal effects. The theoretical developments has mainly been motivated by scientific questions related to breast cancer studies. In particular I have studied how to account for missclassification in mammograpy screening studies, and how to define and identify the causal effect of hormone replacement therapy on tumor characteristics.
I currently teach at the undergraduate statistics courses “Medical statistics” and “Biomedical Statistics”, at Karolinska Institutet, Stockhom, Sweden
The Department of Medical Epidemiology and Biostatistics,
Karolinska Institutet,
Stockholm, Sweden
Email arvid.sjolander@ki.se

Stijn Vansteelandt
My main research focuses on semi-parametric estimation of causal effects
and on adjustment for selection bias. Special attention is devoted to
estimation of direct causal effects, instrumental variables estimation and
adjustment for time-varying confounders. Motivated by applications in
genetic family studies, more recent interest focuses on the estimation of causal
effects in the presence of ascertainment conditions.
I have done post-doctoral research at the Harvard School of Public
Health and am now a lecturer at Ghent University since 2004, where I teach courses in
statistics for undergraduates in the Schools of Sciences and Pharmaceutical Sciences
and on causal inference for postgraduates.
Ghent University                            
Dept. Applied Mathematics and Computer Science
Krijgslaan 281, S9
B-9000 Gent, Belgium
Phone. ++32 9 2644776
Fax. ++32 9 2644995
Email stijn.vansteelandt@ugent.be

Luisa Bernardinelli
MRC Biostatistics Unit
Institute of Public Health
Forvie Site, Robinson Way
Cambridge CB2 2SR
United Kingdom
Ph. +44 (1223) 330300
Fax +44 (1223) 330388
Dipartimento di Scienze Sanitarie Applicate
Università di Pavia

Carlo Berzuini
MRC Biostatistics Unit
Institute of Public Health
Forvie Site, Robinson Way
Cambridge CB2 2SR
United Kingdom
Ph. +44 (1223) 330300
Fax +44 (1223) 330388
Dipartimento di Informatica e Sistemistica
Università di Pavia
Via Ferrata 1, 27100 Pavia