Dr Alexina Mason
of Medical Statsitics
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 am now working on methods for handling informative missing data in cost effectiveness analysis and eliciting prior information.
I am the module organiser for Bayesian Statistics for the MSc in Medical Statistics and a seminar leader for Basic Statistics for PHP.
My main research interests are the development and application of Bayesian methods for handling missing data. Other interests include prior elicitation, Bayesian hierarchical models, combining data sources, critical care endpoints and adaptive designs for early phase trials.