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Jacqueline Murphy

MMath MSc DPhil

Medical Statistician

Research interests

I am a medical statistician based in the Medical Statistics Group. My current research includes the design and analysis of studies to evaluate diagnostics in primary care settings (as part of the NIHR HealthTech Research Centre for Community Healthcare), and the evaluation of healthcare utilisation in cancer diagnosis using electronic health records (within the Cancer Research Group). 

I completed a DPhil at the Nuffield Department of Population Health, where I studied 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. I have worked on statistical and health economics research projects in a range of clinical applications including: cardiovascular disease, cancer (bowel/cervical/prostate, including population screening and prognosis), and orthopaedics.

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

Teaching and supervision

I contribute to medical statistics teaching activities co-ordinated by the Department of Primary Care Health Sciences at both undergraduate and postgraduate levels, and welcome enquiries for MSc and DPhil supervision in areas related to my research interests.

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