I am a statistician primarily interested in Bayesian and early phase trials with fun and clever designs
I am a mathematician turned statistician. My primary interest is in early phase trials and adaptive designs, hopefully with a bit of Bayesian somewhere in there.
A lot of my time is spent designing, setting up, monitoring and analysing clinical trials - looking particularly at the efficacy and safety of treatments. I am also part of the CSM Early Phase Team, where we meet to discuss new analysis techniques and recently developing methodologies and how we could potentially implement these in a clinical setting.
I joined Oxford Clinical Trials Research Unit (OCTRU), part of Centre for Statistics in Medicine (CSM) within NDORMS in October 2018 as a medical statistician. Prior to this I completed my MSc in Statistics from The London School of Economics and Political Science in July 2018 where much of my study was focused on adaptive modelling, Bayesian Statistics and machine learning and data mining techniques - the fun bits, basically. I also have a first class Mathematics degree from the University of York.
In my spare time I love playing sport, particularly anything that involves hitting some form of ball, playing my guitar and reading.
Exploring the use of Bayesian Techniques in a Surgical Trauma Randomised Control Trial
OOMS A. et al, (2020)
Statistical and Health Economic Analysis Plan for a Randomized Controlled trial of Surgical Fixation with K-Wires versus Plaster Casting in the Treatment of Dorsally Displaced Distal Radius Fractures: DRAFFT2
OOMS A. et al, (2020), Bone and joint open
Behaviour change physiotherapy intervention to increase physical activity following hip and knee replacement (PEP-TALK): study protocol for a pragmatic randomised controlled trial
SMITH TO. et al, (2020), Bmj open