Postdoctoral Researcher in Meta Research
At the Centre for Statistics in Medicine, I investigate how medical research is done, which is known as meta-research or ‘research on research’. I focus on the methodological conduct and reporting of non-randomised research, with a view to help improve the quality and integrity of future research. My work is funded by the NIHR Oxford Biomedical Research Centre (BRC) and will include a methodological audit of studies funded under any NIHR BRC. I will also look at factors associated with the completion and discontinuation of NIHR BRC-funded studies.
I am passionate about statistical methodology and observational research, and am particularly interested in prognostic/risk modelling. I enjoy working with large routinely collected datasets (QResearch, THIN, and CPRD) and programming in Stata statistical software. I am also the Associate Editor for the Journal of Intellectual Disability Development.
Much of my work experience has been as a medical statistician within Primary Care at the University of Nottingham. More recently, I worked as an advisor for the Research Design Service (East Midlands), helping researchers and clinicians apply for funding for their research through study design, and grant writing.
I was awarded a PhD in Medical Statistics (Primary Care) from the University of Nottingham in 2015. I investigated the methodology behind how new risk factors are assessed and incorporated into established risk prediction models. My research led me to combine statistical and health economic methodologies to assess new risk factors by means of their cost effectiveness.
In my spare time, I enjoy strength training, reading, listening to music, going to the movies, and generally learning new things. I also row for City of Oxford Rowing Club.
More consideration is needed when conducting non-randomised studies of interventions
DHIMAN P. et al, (2019), Journal of clinical epidemiology
A systematic review showed more consideration is needed when conducting nonrandomized studies of interventions.
Dhiman P. et al, (2019), J clin epidemiol, 117, 99 - 108
Electronic identification systems reduce the number of wrong components transfused
MURPHY M. et al, (2019), Transfusion
Systematic reviews on the prognostic role of biomarkers in heart failure
Vazquez Montes M. et al, (2018)
URINARY CADMIUM AND COPPER AS BIOMARKERS OF ACUTE KIDNEY INJURY AFTER INTENSIVE CARE UNIT ADMISSION
Allen J. et al, (2018), Nephrology dialysis transplantation, 33