I am a newly qualified statistician working on the design, conduct and analysis for orthopaedic-based clinical trials. I recently joined the Oxford Clinical Trials Research Unit, as part of the Centre for Statistics in Medicine, where I provide statistical input and report writing for a variety of different clinical trials. I am also currently involved with a methodology research group looking at the statistical methods and reporting of trial publications.
I graduated with Distinction in an MSc in Statistics from the University of Kent in 2018. My main research interests involved exploring the use of statistics in reducing the burden of disease. For my dissertation, I assessed the suitability of using clustering algorithms to group countries together based on risk factors for non-communicable diseases. Other areas of interest include multivariate analysis of large data sets, machine learning, and experimental designs. I also have a BSc in Physics from the University of Leicester, where I graduated in 2015.
Outside of work, I enjoy staying active by playing football and rock climbing.
Immunotherapy to reduce frequency of urinary tract infections in people with neurogenic bladder dysfunction; a pilot randomised, placebo-controlled trial.
Wade D. et al, (2020), Clinical rehabilitation
Rombach I. et al, (2020), Bmc med, 18
Rombach I. et al, (2019), 20, 106 - 107
Optimal randomisation strategies – simple, stratified or minimised: lessons from the WHIST trial
KNIGHT R. et al, (2019)
Using cluster analysis to group countries based on non-communicable disease risk factors.
PECKHAM N. and James B., (2019)