Armitage Lecture and Workshop
Thursday 6th December 2012 - CRUK Cambridge Research Institute
NOTE: If you wish to attend this year's Armitage Lecture and workshop, please email Kathy Airey (email@example.com) stating whether you wish to attend all day or half day. Lunch and refreshments will be provided. There is no charge for this event.We are delighted to announce that this year's Armitage Lecturer is Professor Els Goetghebeur.
Els Goetghebeur is Professor of Statistics at Gent University, Belgium. She spent 5 of the past years as adjunct Associate Professor in the Department of Biostatistics of the Harvard School of Public Health (US). Previous appointments include faculty positions at the London School of Hygiene and Tropical Medicine (UK) and Maastricht University (NL). She was visiting lecturer at Stanford University (US) and the Limburgs University Centre (B).
Her research focuses on methods for causal inference generally, on survival analysis and missing data problems, the design and analysis of (sequentially) randomised trials and multiple comparisons problems (for genetic data). (Information taken from the German Academy of Sciences Leopoldina website).
Also appearing as guest speakers are:
Dr. Vanessa Didelez – Dept of Mathematics, Bristol University who is Reader in Statistics at the School of Mathematics, University of Bristol, UK.
Previously, she was a lecturer at the Department of Statistical Science, UCL (UK). She currently holds a Leverhulme Fellowship on "Statistical Methods for Complex Causal Inference".
Vanessa's interests are in statistical modelling using graphical models and causal inference with applications in epidemiology, or bio-medical research in general. In recent years she has focused on the topics of instrumental variables and Mendelian randomisation as well as sequential decisions and mediation analysis.
Dr. Ian White – MRC Biostatistics Unit – who is a program leader at the MRC Biostatistics Unit in Cambridge, UK. His research interests focus on handling missing data, noncompliance and measurement error in the analysis of clinical trials, observational studies, and meta-analysis. His interest in this topic has been sparked by health economists' need to model treatment effects on overall survival, which is much more afflicted by treatment switches than other trial outcomes.
Dr. Aidan O’Keeffe – MRC Biostatistics Unit- “My principal research interests are in the analysis of longitudinal data and dynamic modelling methods. This includes the use of multi-state models, methods to assess causal relationships between stochastic processes and the modelling of correlated processes. In addition, I research methods to account for drop-out in longitudinal studies.”