Dr James Murray

Research Fellow

United Kingdom

Email
James

I joined LSHTM in January 2024 as a Research Fellow after completing a my PhD in Statistics at Newcastle University. My PhD research focussed on novel contributions to joint models of survival and multivariate longitudinal data. At LSHTM I am primarily responsible for developing clinical prediction models for early detection of gastro-intestinal cancers using exhaled volatile organic compounds alongside collaborators at Imperial College London.

Affiliations

Department of Medical Statistics

Faculty of Epidemiology and Population Health

Teaching

I support practical sessions for the Survival Analysis and Analysis of Hierarchical and Other Dependent Data modules within the Medical Statistics MSc. I also support student Projects on the MSc.

Research

Chiefly interested in applied statistics which is people-orientated in nature and computational statistics.

During my PhD I primarily focussed on the joint analysis of longitudinal and survival data, and this joint modelling remains a strong research interest. More widely, I am interested in health research applications of (potentially novel) statistical methodology.

My Postdoctoral position is funded by Pancreatic Cancer UK, Cancer Research UK, and the National Institute for Helath and Care Research.

Research Area

Applied statistics (medical)

Statistical methods

Data science

Electronic health records

Disease and Health Conditions

Cancer

Cirrhosis

Country

United Kingdom

Selected Publications

Development and validation of a diagnostic prediction model for pancreatic ductal adenocarcinoma: VAPOR 1, protocol for a prospective multicentre case-control study.

Walsh, CM; MURRAY, J; Laponogov, I; Parker, A; Ellis, JK; Converso, V; Austin, E; Boshier, PR; Czajkowski, C; Spalding, D; Al-Mukhtar, A; Frampton, AE; Roberts, KJ; Pandanaboyana, S; Halloran, C; Costello, E; Kocher, H; Mitra, V; Hamady, Z; Al-Sarireh, B; Pathak, S; Mitchell, WK; Siriwardena, AK; Westlake, C; Pereira, SP; ... VAPOR Collaborators,

2025

BMJ open

Comparison of outcomes after living and deceased donor kidney transplantation: UK national cohort study.

MURRAY, J; Luke, A; Wallace, D; Callaghan, C; SHARPLES, LD;

2025

British Journal of Surgery

Non-invasive breath testing to detect colorectal cancer: protocol for a multicentre, case-control development and validation study (COBRA2 study).

Fadel, MG; MURRAY, J; Woodfield, G; Belluomo, I; Laponogov, I; Parker, A; Converso, V; Ellis, JK; Wheatstone, P; Hepburn, J; Groves, C; Monahan, K; Saunders, BP; Španěl, P; Veselkov, K; Cross, AJ; Kontovounisios, C; SHARPLES, LD; Hanna, GB; COBRA2 Collaborators,;

2025

BMC cancer

Trial emulation to assess the effect of surgery on survival when there are competing risks, with application to patients with thoracic aortic aneurysms.

MURRAY, J; CHESANG, C; Large, S; Bicknell, C; Freeman, C; KEOGH, RH; SHARPLES, LD;

2025

Journal of clinical epidemiology

Fast estimation for generalised multivariate joint models using an approximate EM algorithm

MURRAY, J; Philipson, P;

2023

Computational statistics & data analysis

Simple approaches to characterising multiple long-term conditions (multimorbidity) and rates of emergency hospital admission: Findings from 495,465 UK Biobank participants.

Dodds, RM; Bunn, JG; Hillman, SJ; Granic, A; MURRAY, J; Witham, MD; Robinson, SM; Cooper, R; Sayer, AA;