Dr Alexina Mason
BSc MSc PhD
of Medical Statistics
15-17 Tavistock Place
After completing a first degree in Mathematics and Computing (University of Bath), my early career was spent working as an aviation forecaster at the Civil Aviation Authority and National Air Traffic Services. This included a year studying at the University of Sheffield, where I gained an MSc in Statistics. I returned to full-time education in 2005, and completed a PhD on Bayesian methods for modelling non-random missing data mechanisms in longitudinal studies at Imperial. Since then I have worked on the BIAS project, which developed Bayesian methods for integrated bias modelling and analysis of multiple data sources in observational studies, and as a trial statistician in the Imperial Clinical Trials Unit, focussing mainly on critical care trials.
I joined the School in October 2014, and my current research is at the interface of statistics, health economics and decision making, and is aimed at improving Bayesian approaches to healthcare evaluation arising from clinical trials. I have ongoing collaborations with the Intensive Care National Audit and Research Centre (ICNARC), the Statistics for Health Economic Evaluation Group at UCL and the statistical researchers at Imperial College London working in clinical trials.
I am a module organiser for Bayesian Statistics for the MSc in Medical Statistics and a seminar leader for Basic Statistics for PHP.
My main research interests revolve around the development and application of Bayesian approaches in clinical trial settings, and in particular to handling missing data. This includes developing methods and tools to facilitate expert elicitation that allows external knowledge to be incorporated into analysis when there is missing or insufficient information from the trial itself.