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Professor Linda Sharples

PhD

Professor
of Medical Statistics

Room
G32A

LSHTM
Keppel Street
London
WC1E 7HT
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

Affiliations

Department of Medical Statistics
Faculty of Epidemiology and Population Health

Centres

Centre for Statistical Methodology

Teaching

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:

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

Kate Edgar, Exploring mechanisms of action of complex interventions using trial data and causal inference methods to improve quality and safety of healthcare for older people,

and 1 PhD students as supporting supervisor:

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

Research

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 and observational studies in cardiovascular condition, diabetes and 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.

Research Area
Clinical trials
Complex interventions
Health care policy
Health technology assessment
Statistical methods
Bayesian Analysis
Randomised controlled trials
Discipline
Statistics
Disease and Health Conditions
Cancer
Cardiovascular disease
Diabetes
Skin disease
Region
World

Selected Publications

A Systematic Review of Endovascular Stent Grafting Versus Open Surgical Repair for the Elective Treatment of Arch/Descending Thoracic Aortic Aneurysms
McCarthy A; Gray J; Sastry P; Sharples L; Vale L; Cook A; McMeekin P; Freeman C; Catarino P; Large S
2021
BMJ Open
Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably.
Cowling TE; Cromwell DA; Bellot A; Sharples LD; van der Meulen J
2021
Journal of Clinical Epidemiology
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
2020
Journal of Clinical Epidemiology
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
2020
International Journal of Technology Assessment in Health Care
Dynamic survival prediction combining landmarking with a machine learning ensemble: Methodology and empirical comparison
Tanner KT; Sharples LD; Daniel RM; Keogh RH
2020
Journal of the Royal Statistical Society Series A: Statistics in Society
Faecal immunochemical testing in bowel cancer screening: Estimating outcomes for different diagnostic policies.
Li SJ; Sharples LD; Benton SC; Blyuss O; Mathews C; Sasieni P; Duffy SW
2020
Journal of Medical Screening
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