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D.Phil Oxon, B.A. Hons Oxon, Dip Stat Open
University Research Lecturership
- Senior Departmental Statistician
My research is to design and analyse diagnostic and prognostic studies, including ongoing clinical trials and methodological work.
I work closely with clinical teams to improve diagnostic pathways in the NHS, designing studies specifically to provide evidence to identify best methods, to inform NHS practice and future NICE guidelines.
My current research as a statistician is informed by 10 years experience as a laboratory based molecular immunologist and includes
- Systematic reviews of diagnostic accuracy studies: methodology overview, CT colonography in colorectal cancer.
- Analysis of two trials on the diagnostic accuracy of computer aided detection in CT colonography for colorectal cancer.
- Design and analysis of the first studies in 3D medical imaging using eye tracking of radiologists reading 3D fly through images of colon. These studies aim to understand the nature of diagnostic errors and techniques used by experts in search and image interpretation.
- Methodological work on measurements of diagnostic accuracy including the disadvantages of ROC AUC, longitudinal missing data methods and prognostic models.
- Statistician on four multi-centre trials funded by the NHS working on design and analysis: Improving the prediction of metastatic disease in primary colorectal cancer; Comprehensive staging of newly diagnosed lung and colorectal cancer - Prospective multicentre comparison of whole body Magnetic Resonance Imaging with standard diagnostic imaging pathways; The use of ultrasound and magnetic resonance imaging in the assessment of Crohn’s disease; The early use of Antibiotics for at Risk CHildren with InfluEnza in primary care (the ARCHIE programme).
I co-authored a chapter to form part of The Cochrane Diagnostic Accuracy Handbook, I regularly review Cochrane protocols and other papers, and am on the Steering Committee for QUADAS2. I am statistical co-ordinator and teach on the Evidence Based Health Care MSc, supervise MSc and DPhil students and teach pre-clinical medical students.
Reporting and methods in clinical prediction research: a systematic review.
Bouwmeester W. et al, (2012), Plos Med, 9, 1 - 12
Interpreting diagnostic accuracy studies for patient care.
Mallett S. et al, (2012), Bmj, 345
Evaluation of diagnostic strategies for bladder cancer using computed tomography (CT) urography, flexible cystoscopy and voided urine cytology: results for 778 patients from a hospital haematuria clinic.
Blick CG. et al, (2012), Bju Int, 110, 84 - 94
Post-mortem imaging as an alternative to autopsy in the diagnosis of adult deaths: A validation study
Roberts ISD. et al, (2012), The Lancet, 379, 136 - 142
Systematic review: bias in imaging studies - the effect of manipulating clinical context, recall bias and reporting intensity.
Boone D. et al, (2012), Eur Radiol, 22, 495 - 505
Tracking Eye Gaze during Interpretation of Endoluminal Three-dimensional CT Colonography: Visual Perception of Experienced and Inexperienced Readers.
Mallett S. et al, (2014), Radiology, 273, 783 - 792
Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.
Moons KG. et al, (2014), Plos Med, 11
Detection of extracolonic pathologic findings with CT colonography: a discrete choice experiment of perceived benefits versus harms.
Plumb AA. et al, (2014), Radiology, 273, 144 - 152
Towards a framework for analysis of eye-tracking studies in the three dimensional environment: a study of visual search by experienced readers of endoluminal CT colonography.
Helbren E. et al, (2014), Br J Radiol, 87
Sensitivity and specificity of CT colonography for the detection of colonic neoplasia after positive faecal occult blood testing: systematic review and meta-analysis.
Plumb AA. et al, (2014), Eur Radiol, 24, 1049 - 1058