Contact information
Ariel Wang
MSc, PhD
Senior Statistician
I joined the department as a medical statistician. My research interests include: methodology studies, diagnostic studies, risk prediction models, big data, and trials (including RCTs). I'm a member of the hypertension team and currently working on the STRATIFY project using the CPRD data, and the OPTIMISE project using the ORCHID data.
Prior to joining the PHC, I worked as a medical statistician in the Centre for Statistics in Medicine and Oxford Clinical Trial Research Unit in NDORMS. I contributed statistical expertise to the statistical analysis and reporting of trials across a range of clinical areas including diagnostic study, cancer, trauma, rehabilitation, surgical trials, as well as drug trials.
I hold a PhD in Health Sciences. My PhD research investigated the epidemiology of mental wellbeing in later life, from its distribution, determinants and consequences.
Key publications
-
Journal article
Hinks TSC. et al, (2021), The Lancet Respiratory Medicine, 9, 1130 - 1140
Recent publications
-
PREDITING THE RISK OF FRACTURE ASSOCIATED WITH ANTIHYPERTENSIVE TREATMENT: DEVELOPMENT OF THE STRATIFY-FRACTURE PREDICTION MODEL
Conference paper
Wang A. et al, (2023), JOURNAL OF HYPERTENSION, 41, E3 - E3
-
Journal article
Hamilton TW. et al, (2022), JAMA Surg
-
Journal article
Zhou Y. et al, (2022), International Journal of Nursing Studies, 104277 - 104277
-
Clinical and Cost-Effectiveness of Liposomal Bupivacaine and Bupivacaine Hydrochloride vs. Bupivacaine Hydrochloride alone as Peri-Articular Anaesthetic for Replacement of the Knee
Journal article
HAMILTON T. et al, (2022), JAMA Surgery
-
Identifying risk factors of monoclonal gammopathy of undetermined significance (MGUS): a population-based study using data from the UK clinical practice research datalink (CPRD)
Conference paper
Koshiaris C. et al, (2022), CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 22, S131 - S131