Professor Linda Sharples
of Medical Statistics
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
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.