Professor Linda Sharples


of Medical Statistics


Keppel Street
United Kingdom

BSc Hons Mathematics (First) and PhD in Statistics at Nottingham University

Post-doctoral fellow at Newcastle University 1986-1989

Non-clinical Scientist and programme leader (from 2000) at the MRC Biostatistics Unit, Cambridge 1989-2013

Professor of Statistics, Leeds University Clinical Trials Research Unit 2013-2016

Professor of Medical Statistics at the School since 2017


Faculty of Epidemiology and Population Health
Department of Medical Statistics


Centre for Statistical Methodology


I jointly organise the Applied Hierarchical and Other Dependent Data module on the MSc Medical Statistics course.

I curently have 2 PhD students as first supervisor:

Crispin Musicha, Modelling the relationship between time-to-event outcomes and residual disease in cancer trials,

Isabelle Smith, Improving pressure ulcer prevention trial design and analysis using multi-state modelling of existing data,

and 1 PhD students as supporting supervisor:

Kamaryn Tanner, Machine Learning Techniques in Dynamic Prediction Models & Causal Inference.


Research is focussed on applying rigorous statistical analysis to evaluation of interventions, particularly surgery, diagnostic strategies and other non-pharmacological interventions. I am the statistical expert for a range of trials in cardiovascular, diabetes, skin and musculoskeletal conditions and in lung cancer. Major methodological research interests surround evaluation of novel health technologies using both randomised and non-randomised designs, and assessment of clinical trial results within the wider context of epidemiological and routinely collected health data. Many of these studies involve synthesis of all relevant data and can incorporate changes in health status over time. As such they provide a more comprehensive picture of the way in which diseases and conditions develop, as well as the mechanisms that drive health outcomes.

I have an honorary position at the University of Leeds Clinical Trials Unit and continue to collaborate with Papworth Hospital in Cambridge. My research group has links with the Politechnico di Milano through its Electronic Health Records project FARB.

Research Area
Clinical trials
Complex interventions
Health care policy
Health technology assessment
Statistical methods
Bayesian Analysis
Randomised controlled trials
Disease and Health Conditions
Cardiovascular disease
Skin disease

Selected Publications

Developing a reference case for expert elicitation in healthcare decision making
Bojke L; Soares M; Claxton K; Colson A; Fox A; Jackson C; Jankovic Dina; Morton A; Sharples L; Taylor A
International Journal of Technology Assessment in Health Care
One-year mortality of colorectal cancer patients: development and validation of a prediction model using linked national electronic data.
Cowling TE; Bellot A; Boyle J; Walker K; Kuryba A; Galbraith S; Aggarwal A; Braun M; Sharples LD; van der Meulen J
British Journal of Cancer
A novel approach selected small sets of diagnosis codes with high prediction performance in large healthcare datasets.
Cowling TE; Cromwell DA; Sharples LD; van der Meulen J
Journal of Clinical Epidemiology
Evaluating the effect of healthcare providers on the clinical path of heart failure patients through a semi-Markov, multi-state model
Gasperoni F; Ieva F; Paganoni AM; Jackson CH; Sharples L
BMC Health Services Research
Faecal Immunochemical Testing in Bowel Cancer Screening: Estimating Outcomes for Different Diagnostic Policies
Li S; Sharples L; Benton S; Blyuss O; Mathews C; Sasieni P; Duffy S
Journal of Medical Screening
Accuracy of time to treatment estimates in the CRASH-3 clinical trial: impact on the trial results.
Mansukhani R; Frimley L; Shakur-Still H; Sharples L; Roberts I
Dynamic survival prediction combining landmarking with a machine learning ensemble: Methodology and empirical comparison
Tanner KT; Sharples LD; Daniel RM; Keogh RH
Journal of the Royal Statistical Society Series A: Statistics in Society
See more Publications