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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

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:

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

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
Discipline
Statistics
Disease and Health Conditions
Cancer
Cardiovascular disease
Diabetes
Skin disease
Region
World

Selected Publications

A systematic review and meta-analysis estimating the population prevalence of comorbidities in children and adolescents aged 5 to 18 years.
Sharma V; Coleman S; Nixon J; Sharples L; Hamilton-Shield J; Rutter H; Bryant M
2019
Obesity Reviews
Nonproportional Hazards for Time-to-Event Outcomes in Clinical Trials: JACC Review Topic of the Week.
Gregson J; Sharples L; Stone GW; Burman C-F; Öhrn F; Pocock S
2019
Journal of the American College of Cardiology
Mini-Stern Trial: A randomized trial comparing mini-sternotomy to full median sternotomy for aortic valve replacement.
Nair SK; Sudarshan CD; Thorpe BS; Singh J; Pillay T; Catarino P; Valchanov K; Codispoti M; Dunning J; Abu-Omar Y
2018
The Journal of thoracic and cardiovascular surgery
Non-parametric frailty Cox models for hierarchical time-to-event data
Gasperoni F; Ieva F; Paganoni AM; Jackson CH; Sharples L
2018
Biostatistics
Alternative tumour necrosis factor inhibitors (TNFi) or abatacept or rituximab following failure of initial TNFi in rheumatoid arthritis: the SWITCH RCT.
Brown S; Everett CC; Naraghi K; Davies C; Dawkins B; Hulme C; McCabe C; Pavitt S; Emery P; Sharples L
2018
Health technology assessment (Winchester, England)
Experiences of Structured Elicitation for Model-Based Cost-Effectiveness Analyses.
Soares MO; Sharples L; Morton A; Claxton K; Bojke L
2018
Value in health
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