Centre for Health Services Studies

Excellence in Health Research


profile image for  Tracy Pellatt-Higgins BSc, MSc, Dip   Couns, Dip  BWY

Tracy Pellatt-Higgins BSc, MSc, Dip Couns, Dip BWY

Research Fellow and NIHR RDS SE Research Adviser

 

 

I am a Research Fellow at CHSS at the University of Kent with 26 years’ experience working in pharmaceutical and applied health research. 

I am currently collaborating with colleagues from East Kent Hospitals University NHS Foundation Trust and Birmingham Clinical Trials Unit on the eGFR-C project. The aims of the research are to evaluate glomerular filtration rate (GFR) estimating equations in assessing and monitoring measured GFR in people with stage 3 chronic kidney disease (CKD) over three years.

I am an experienced Statistician, with particular expertise in optimal trial design, adaptive design, mathematical modelling and simulation, and model-based meta-analysis.  During the last 30 years, I’ve accumulated wide ranging inter-disciplinary research experience in relation to the application of Statistics in the design and analysis of pharmaceutical and applied health research. I am also a complementary therapist, Integrative Counsellor and BWY Yoga teacher. My research interests include mental health, mindfulness, complementary therapies and holistic healthcare.

I joined the University of Kent in June 2010. I previously worked as a Pharmacometrician at Pfizer (2002-2010), and at Covance Clinical Research Organisation (1987-2002) where I served as Head of the Department of Statistics and SAS Programming from 1992 onwards. Whilst working at Covance, I also served as Head of the Data Management Department for one year.

I completed my BSc in Applied Statistics at Sheffield in 1987, my MSc in Medical Statistics at the University of Leicester in 1999 (Awarded Distinction), and my Diploma in Counselling at the University of Kent 2013.

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Total publications in KAR: 0 [See all in KAR]
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Applied health research, statistics, trial design, mathematical modelling and simulation, model-based meta-analysis, mental health, mindfulness

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Last Updated: 04/03/2019