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.
Effect of Moderate to High Intensity Aerobic Exercise on Blood Pressure in Young Adults: The TEPHRA open, two-arm, parallel superiority randomized clinical trial
LEESON C., (2022), Eclinicalmedicine
Costa ML. et al, (2022), Health technol assess, 26, 1 - 80
Costa ML. et al, (2022), Bmj, 376
SWAT 110 : Printing the primary outcomE on Pink PapER versus standard paper to increase participant engagement to postal questionnaires (PEPPER)
OOMS A. et al, (2021), Research methods in medicine & health sciences
Statistical analysis plan for a pragmatic phase III randomised controlled trial examining
behaviour change physiotherapy intervention to increase physical activity following hip
and knee replacements: the PEP-TALK Trial
OOMS A. et al, (2021), Trials