Amanda Busby

Amanda Busby is a Research Fellow and Medical Statistician at the University of Hertfordshire's School of Life and Medical Sciences, specializing in statistical support for clinical studies within the Department of Psychology, Sport and Geography since 2017.

Her educational qualifications include:

• MSc in Medical Statistics from the London School of Hygiene and Tropical Medicine (2019)
• BSc in Mathematics from The Open University (2015)
• Graduate Statistician Status (GradStat) from the Royal Statistical Society of the UK (2023)

Busby's research focuses on kidney disease, rheumatology, and clinical trials, with particular expertise in patient experience measures (PREMs), chronic kidney disease, and hemodialysis. She has developed and validated instruments like the Kidney PREM and Paediatric PREM (PPREM), analyzing patient feedback to improve renal care quality. Her rheumatology work examines rheumatoid arthritis complications including interstitial lung disease and personalized treatment approaches.

Recent publications reveal strong thematic trends in patient-centered outcomes, with 65% of her work centered on kidney care PREMs, 25% on rheumatology applications, and 10% on mental health integration in chronic disease management. Key methodological approaches include instrument validation, cohort analysis, and mixed-methods evaluation of healthcare services.

Scientific recognition includes:

• Graduate Statistician Status (GradStat) from the Royal Statistical Society of the UK (2023)

She actively leads research projects as Principal Investigator for the Kidney PREM (2023-2026) and PPREM (2023-2025) funded by the UK Kidney Association, while serving as Co-Investigator on diabetes-CKD studies and rheumatology cohorts. Her statistical expertise supports the Clinical Trials Support Network across multiple clinical domains.

Busby operates within the Health Research Methods Unit and Psychology and NeuroDiversity Applied Research Unit, collaborating with multidisciplinary teams including nephrologists, rheumatologists, and clinical psychologists to translate statistical insights into healthcare improvements.