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 enjoy working on complex methodological problems, with a particular focus on observational studies in epidemiology and real world evidence.
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 multi-centre randomised controlled trial called Study of Peri-Articular Anaesthetic for Replacement of the Knee (SPAARK). I am also involved in the early stages of development of a trial which will investigate the use of prediction models in trauma patients suffering multiple organ failure.
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 are developing methodology that will allow us to robustly evaluate novel service improvements using an interrupted time series design.
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 at the end of 2016 and was awarded GradStat status.
In my spare time I enjoy socialising with friends and family and like to travel. I also volunteer as an ambassador for MacMillan Cancer Support, helping raise awareness for the millions of people and their families who are living with and are affected by the 200+ types of cancers that exist today.
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)
Implementation of the Back Skills Training Programme
Sugavanam T. et al, (2017)
Do nursing stations within bays of hospital wards reduce the rate of inpatient falls ? – An Interrupted Time Series Analysis from the United Kingdom
Ali U. et al, (2017)