Dr Pradeep Virdee

I am a Medical Statistician based in the Nuffield Department of Primary Care Health Sciences, University of Oxford. I joined in January 2022 and work primarily on cancer research observational studies. My projects include BLOTTED, developing clinical prediction models for cancer detection using routinely collected repeated-measures blood test data from CPRD, and SYMPLIFY, assessing diagnostic performance of a multi-cancer early detection blood test (Galleri^TM) in symptomatic patients.

From August 2014 to December 2021, I was based in the Centre for Statistics in Medicine (CSM), University of Oxford. I worked primarily in oncology clinical trials, providing statistical expertise in all aspects of study execution, covering a range of cancer types, study designs, and trial phases. 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 (FBC) 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. My interests also include teaching, teaching statistical courses on departmental undergraduate and graduate courses and having been the Lead Teacher for the University's IT Learning Centre's Stata courses since January 2018.

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.