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Dr Pradeep Virdee
BSc, MSc, DPhil
Senior Medical Statistician
About Me
I am a Senior Statistician based in the Cancer Theme at the Nuffield Department of Primary Care Health Sciences, University of Oxford since January 2022. My projects include BLOTTED, investigating the role of trends over repeated-measures blood test data from CPRD, SYMPLIFY, assessing diagnostic performance of a multi-cancer early detection blood test (GalleriTM) in symptomatic patients, and CanBack, developing prediction models for cancer risk in patients with back pain.
From August 2014 to December 2021, I was based in the Centre for Statistics in Medicine (CSM), University of Oxford. I worked primarily on oncology clinical trials. From January 2019 to December 2021, I underwent a DPhil (PhD) in CSM, funded by the NIHR Doctoral Research Fellowship Programme. My research involved developing dynamic prediction models (multivariate joint models) using patient-level trends in the full blood count blood test for two-year risk of colorectal cancer.
My interests include improving efficiency in statistical programming, such as to make data management easier and less time-consuming. I teach on departmental undergraduate and graduate courses and was the Lead Teacher for the University's IT Learning Centre's Stata courses from January 2018 to January 2024.
In 2016, I was awarded with the University of Oxford's Award for Excellence for my "consistent exceptional performance."
Before joining Oxford, I graduated from Coventry University in 2012 with a BSc in Mathematics and from the University of Leicester in 2013 with a MSc in Medical Statistics.
Recent publications
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Validity and timeliness of cancer diagnosis data collected during a prospective cohort study and reported by the English and Welsh cancer registries: a retrospective, comparative analysis
Journal article
Jackson A. et al, (2024), The Lancet Oncology, 25, 1476 - 1486
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Prioritising primary care patients with unexpected weight loss for cancer investigation: diagnostic accuracy study (update)
Journal article
Nicholson BD. et al, (2024), BMJ (Clinical research ed.), 387
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A retrospective analysis of the validity and timeliness of cancer diagnosis data collected during a prospective cohort study and reported by the English and Welsh cancer registries
Journal article
Jackson A. et al, (2024), The Lancet Oncology
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Immune Microenvironment Modulation following Neo-adjuvant Therapy for Oesophageal Adenocarcinoma: A Translational Analysis of the DEBIOC Clinical Trial
Journal article
Virdee PS. et al, (2024), ESMO Open
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Diffusion-weighted magnetic resonance imaging as an early prognostic marker of chemoradiotherapy response in squamous cell carcinoma of the anus: an individual patient data meta-analysis
Journal article
Hanekamp BA. et al, (2024), Physics and Imaging in Radiation Oncology