Addressing methodological issues associated with using the Kidney Disease Quality of Life (KDQOL) tool in a trial of nocturnal dialysis to estimate effectiveness and cost effectiveness
Prof L Gray
Prof N Cooper
Dr J Burton
No more applications being accepted
Competition Funded PhD Project (European/UK Students Only)
The National Institute for Health Research (NIHR) is the nation’s largest funder of health and care research and provides the people, facilities and technology that enables research to thrive. NIHR Applied Research Collaborations (ARCs) support applied health and care research that responds to, and meets, the needs of local populations and local health and care systems. The NIHR ARC East Midlands (EM) is one of 15 ARCs across England, part of a £135 million investment by the NIHR to improve the health and care of patients and the public.
The clinical themes ARC EM focuses on include: (i) Building Community Resilience and Enabling Independence; (ii) Mental Health and Wellbeing; (iii) Managing Multimorbidity. There are also three-cutting themes: (i) Translating and Implementing Sustainable Service Improvement; (ii) Ethnicity and Health Inequalities; (iii) Data2Health (Health Data Science).
The Data2Health theme will focus on methodological translation – ensuring that appropriate, innovative and fully evaluated methods are used to inform the design and analysis of ARC EM research studies. It will also ensure maximal use of existing large-scale linked data resources to address important questions for patients, the public and care services, both locally and nationally.
This PhD studentship will undertake a PhD project aligned to the aims of the Data2Health theme. Applicants should select one or more of the following projects when applying. Applicants are encouraged to contact the lead supervisor for more information on the projects.
This project will firstly involve investigating how to deal with participants who have either died or had a kidney transplant when analysing data from the KDQOL. This will incorporate a systematic review followed by a simulation study assessing methods. Secondly the project will involve assessing methods for using data from the KDQOL in cost-effectiveness analyses, specifically developing algorithms for mapping the KDQOL onto the EQ-5D.
Essential: UK Bachelor’s degree with at least 2:1 in a relevant subject (such as Maths or Statistics) or overseas equivalent.
Desirable: MSc Medical Statistics or similar postgraduate degree
University of Leicester English language requirements apply (where applicable).
Funded by NIHR ARC East Midlands.
This 3 year Studentship provides:
UK/EU tuition fee waiver
Stipend at UKRI rates (£15,285 for 2020/21)