I am a medical statistician carrying out methodological development and health services research using 'big data'. Since 2011 I have worked in the Clinical Effectiveness Unit (CEU), a collaboration between LSHTM and the Royal College of Surgeons of England (RCSEng). I am Senior Statistician for the National Cancer Audit Collaborating Centre (NATCAN) in the CEU, established in October 2022 to deliver 10 national cancer audits. Within NATCAN I am also the lead methodologist for the National Bowel Cancer Audit and the National Non-Hodgkin Lymphoma Audit. My link between RCSEng and LSHTM provides a unique environment for methodological research, bringing together methodological expertise, national clinical data, clinical and patient collaborators. I lead the International Collaboration of Colorectal Cancer Outcomes Registries (ICORC).
Affiliations
Department of Health Services Research and Policy
Faculty of Public Health and Policy
Teaching
I am Co-Module Organiser for Advanced Statistical Methods in Epidemiology. I lecture and lead seminars on Basic Statistics for PHP and the Introductory Course in Epidemiology & Medical Statistics short course. I am a personal tutor for students doing the MSc in Public Health. I also co-organise and teach on the Research Methods Course at the Royal College of Surgeons of England each year.
Research
The four key themes of my research are:
1. Data linkage: Bringing together multiple sources of clinical information through linkage of national clinical datasets.
2. Healthcare performance monitoring in the real world: Statistical issues with monitoring the performance of clinicians and clinical teams over time.
3. Risk prediction: Development of risk-adjustment models and risk prediction models for clinical decision-making.
4. Inequalities in healthcare: Identifying inequalities care and outcomes in healthcare.
1. Data linkage: Bringing together multiple sources of clinical information through linkage of national clinical datasets.
2. Healthcare performance monitoring in the real world: Statistical issues with monitoring the performance of clinicians and clinical teams over time.
3. Risk prediction: Development of risk-adjustment models and risk prediction models for clinical decision-making.
4. Inequalities in healthcare: Identifying inequalities care and outcomes in healthcare.
Research Area
Applied statistics (medical)
Epidemiology
Health services research
Disease and Health Conditions
Cancer
Cirrhosis
Country
United Kingdom
Region
European Union
Selected Publications
Probabilistic linkage without personal information successfully linked national clinical datasets.
2021
Journal of clinical epidemiology
Assessing the Time-Dependent Impact of Performance Status on Outcomes After Liver Transplantation.
2020
Hepatology (Baltimore, Md)
Comparison of control charts for monitoring clinical performance using binary data.
2017
BMJ quality & safety
