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Jacqueline Murphy

MMath MSc DPhil

Medical Statistician

I am a medical statistician based in the Medical Statistics Group where I primarily work on projects related to diagnostics in primary care settings as part of the NIHR HealthTech Research Centre (HRC) for Community Healthcare.

I contribute to medical statistics teaching activities co-ordinated by the Department of Primary Care Health Sciences, at both undergraduate and postgraduate levels.

I completed a DPhil at the Nuffield Department of Population Health, where my research involved the development and application of statistical risk prediction models for primary prevention of cardiovascular disease using data from a large cohort study of 0.5m adults in China.

My ongoing interests within applied medical statistics and statistical epidemiology include: diagnostics, prediction modelling and risk scores, and large observational and/or routinely collected data.

I have worked on research projects in a range of clinical applications including: cardiovascular disease, cancer (bowel/cervical/prostate, including population screening and prognosis), and orthopaedics.

Qualifications:
MMath Mathematics (Durham University)
MSc Medical Statistics (London School of Hygiene and Tropical Medicine)
DPhil Population Health (University of Oxford)

Selected publications

See ORCiD for a full list of publications.

Murphy, J., & Fanshawe, T. (2024). Evidence for differences in patterns of temporal trends in meta-analyses of diagnostic accuracy studies in the Cochrane Database of Systematic Reviews. Journal of Clinical Epidemiology. doi:10.1016/j.jclinepi.2024.111472

Leal, J., Murphy, J., Garriga-Fuentes, C., ..., Judge, A. (2022). Costs of joint replacement in osteoarthritis: A study using the National Joint Registry and Clinical Practice Research Datalink data sets. Arthritis Care and Research, 74(3), 392-402. doi:10.1002/acr.24470

Berney, D. M., ..., Murphy, J., ..., Transatlantic Prostate Group. (2019). The percentage of high-grade prostatic adenocarcinoma in prostate biopsies significantly improves on Grade Groups in the prediction of prostate cancer death.. Histopathology, 75(4), 589-597. doi:10.1111/his.13888

Murphy, J., Pritchard, M. G., ...,  Leal, J. (2018). Cost-effectiveness of enhanced recovery in hip and knee replacement: a systematic review protocol. BMJ Open, 8(3). doi:10.1136/bmjopen-2017-019740

Murphy, J., Halloran, S. P., & Gray, A. M. (2017). Cost-effectiveness of the faecal immunochemical test at a range of positivity thresholds compared with the guaiac faecal occult blood test in the NHS Bowel Cancer Screening Programme in England. BMJ Open, 7(10). doi:10.1136/bmjopen-2017-017186

Murphy, J., Gray, A., ..., Carr, A. (2016). Costs, quality of life and cost-effectiveness of arthroscopic and open repair for rotator cuff tears: an economic evaluation alongside the UKUFF trial.. Bone Joint J, 98-B(12), 1648-1655. doi:10.1302/0301-620X.98B12.BJJ-2016-0121.R1