Laura Gray
1 week ago
PhD in Comparative Effectiveness of Interventions for Multiple Long-Term Conditions Using Network and Component Network Meta-Analysis University of Leicester in United Kingdom
Degree Level
PhD
Field of study
Epidemiology
Funding
Full funding availableDeadline
Jul 26, 2026
Country
United Kingdom
University
University of Leicester

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
About this position
PhD opportunity at the University of Leicester in the Biostatistics Research Group / Population Health Sciences, supervised by Dr Ellesha Smith and Professor Laura Gray.
The project is titled Comparative Effectiveness of Interventions for Multiple Long-Term Conditions Using Network and Component Network Meta-Analysis. It is a strong fit for applicants interested in evidence synthesis, multiple long-term conditions (MLTC), multimorbidity, systematic review, network meta-analysis, component network meta-analysis, meta-regression, and subgroup analysis.
The research aims to update an existing systematic review of MLTC intervention trials, compare interventions using NMA, disentangle intervention components using CNMA, and explore heterogeneity across studies. The project is designed to improve understanding of what works for people living with MLTC and to support more effective, equitable healthcare decision-making.
Funding: NIHR/CLS studentship funding for 3.5 years, including UK tuition fees and a stipend at UKRI rates. For 2026/7, the stipend is £21,805 per year, paid monthly.
Eligibility: Applicants should hold a 1st or 2:1 Honours degree (or equivalent) in a relevant subject and meet the University of Leicester English language requirements.
Deadline: 26 July 2026. Start date: 21 September 2026.
Apply via the University of Leicester funded opportunities page and contact the supervisors for informal enquiries.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Official Email
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.