BSc (Hons), MSc, GradStat
- NIHR CLAHRC Medical Statistician
- OCTRU Trial Statistician
Passionate about improving and developing healthcare through innovative and collaborative clinical research
I contribute to the design, conduct, analysis and presentation of results of collaborative clinical research projects. My role also involves methodological research relevant to preventing, curing and understanding human illness and health. I am passionate about accurate reporting of medical research and have a methodological interest in the analysis of large routine healthcare datasets, survival analysis and prognostic modelling.
Most of my work is with the Centre for Rehabilitation Research in Oxford (RRIO), which leads applied research aiming to improve the lives of patients through musculoskeletal rehabilitation. I also provide statistical input for randomised controlled trials run by the Oxford Clinical Trials Research Unit (OCTRU), where I am the trial statistician for a randomised feasibility trial comparing standard plaster cast with WOODCAST for wrist fractures.
My main area of interest is the evaluation of complex interventions. For example, I am collaborating on a RRIO project with the Oxford Academic Health Sciences Network, Oxford University Hospitals NHS Trust and Buckinghamshire Healthcare NHS Trust, investigating whether introducing nursing stations within hospital ward bays will reduce the incidence of falls and fragility fractures. We have developed methodology that allows us to robustly evaluate novel service improvements using an interrupted time series design.
I am leading statistical analyses for the Royal College of Physicians, on the Healthcare Quality Improvement Partnership commissioned Falls and Fragility Fracture Audit Programme (comprising the National Hip Fracture Database, the Fracture Liaison Service Database and the National Audit of Inpatient Falls).
I am also working on the implementation and service evaluation of RRIO’s Back Skills Training Trial (BeST), and conducting secondary analyses for RRIO’s Prevention of Fall Injury Trial (PreFIT), which is the largest trial of fall prevention interventions conducted to date.
I attained a BSc (with honours) in Mathematics and an MSc in Medical Statistics, both from the University of Leicester. My MSc thesis was entitled: ‘Incorporating Real World Evidence with Randomised Controlled Trials in Network Meta-Analysis: A Case Study in Multiple Sclerosis’. I joined the Centre for Statistics in Medicine (CSM) in October 2016, funded by the National Institute for Health Research Collaborations for Leadership in Applied Health Research and Care grant.
I became a Fellow of the Royal Statistical Society in 2016 and was awarded GradStat status. I am also a member of the British Neuro-Oncology Society, the Society of British Neurological Surgeons, Cancer Research UK Oxford Centre and the Research Involvement Network for the Brain Tumour Charity.
In my spare time I enjoy swimming, socialising with friends and family and travelling.
Treatment of newly diagnosed glioblastoma in the elderly: a network meta-analysis
Hanna C. et al, (2020), Cochrane Database of Systematic Reviews
Do portable nursing stations within bays of hospital wards reduce the rate of inpatient falls? – An Interrupted Time Series Analysis
Ali U. et al, (2018), Age and Ageing
Web-based rehabilitation interventions for people with rheumatoid arthritis: A systematic review.
Srikesavan C. et al, (2018), Journal of telemedicine and telecare, 1357633X18768400 - 1357633X18768400
CURRENT PRACTICE IN METHODOLOGY AND REPORTING OF THE SAMPLE SIZE CALCULATION IN RANDOMISED TRIALS OF HIP AND KNEE OSTEOARTHRITIS: A SYSTEMATIC REVIEW
Copsey B. et al, (2018), OSTEOARTHRITIS AND CARTILAGE, 26, S273 - S274
Royal College of Physicians National Audit of Inpatient Falls: Audit report 2017
Ali U. et al, (2017)