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Professor Bernard Rachet

Professor of Cancer Epidemiology

United Kingdom

Bernard Rachet leads the Inequalities in Cancer Outcomes Network (ICON) group, overseeing a wide range of projects that quantify and explain socio-demographic and geographic inequalities in cancer care and outcomes. His recent research increasingly integrates interdisciplinary approaches to assess the impact of policies on these inequalities, in collaboration with research partners across the UK and worldwide. Patient and Public Involvement has also become central to his research. Another key focus is the development and refinement of analytical methods and tools to address research questions and communicate findings to policymakers and stakeholders.

 

Originally trained as a medical doctor in France, Bernard transitioned to epidemiology after clinical practice. He earned an MSc in Epidemiology in Paris and a PhD in Epidemiology at the International Agency for Research on Cancer (IARC) in Lyon, France. Before joining the London School of Hygiene and Tropical Medicine in July 2002, he spent three years as a postdoctoral fellow in Montréal, Canada, focusing on cancer risks related to occupational and environmental exposures and advancing analytical methods.

Affiliations

Department of Health Services Research and Policy
Faculty of Public Health and Policy

Centres

Centre for Data and Statistical Science for Health
Centre for Evaluation

Research

Research Area
Epidemiology
Health inequalities
Statistical methods
Research methodology
Mixed methods research
Electronic health records
Health care policy
Public health
Disease and Health Conditions
Cancer
Country
United Kingdom
Japan
France
Kuwait
Portugal
Spain
Netherlands
Region
European Union

Selected Publications

England's national cancer plan is more of a commercial strategy than a health policy.
RACHET, B; AGGARWAL, A; MCKEE, M;
2026
BMJ (Clinical research ed.)
Estimated effect of correcting inequalities in minimally invasive surgical resection in patients with colon cancer in England: a population-based study.
MARINGE, C; O'Leary, D; Benitez-Majano, S; LEYRAT, C; EXARCHAKOU, A; RACHET, B; QUARESMA, M;
2026
The Lancet Oncology
Dealing with missing information on covariates for excess mortality hazard regression models - Making the imputation model compatible with the substantive model.
Antunes, L; Mendonça, D; Bento, MJ; NJAGI, EN; BELOT, A; RACHET, B;
2021
Statistical methods in medical research
Variation in colon cancer survival for patients living and receiving care in London, 2006-2013: does where you live matter?
QUARESMA, M; CARPENTER, JR; TURCULET, A; RACHET, B;
2021
Journal of epidemiology and community health
Probabilities of ICU admission and hospital discharge according to patient characteristics in the designated COVID-19 hospital of Kuwait.
Kipourou, D-K; LEYRAT, C; ALSHERIDAH, N; Almazeedi, S; Al-Youha, S; Jamal, MH; Al-Haddad, M; Al-Sabah, S; RACHET, B; BELOT, A;
2021
BMC Public Health
The impact of the COVID-19 pandemic on cancer deaths due to delays in diagnosis in England, UK: a national, population-based, modelling study.
MARINGE, C; Spicer, J; MORRIS, M; Purushotham, A; NOLTE, E; Sullivan, R; RACHET, B; AGGARWAL, A;
2020
The Lancet Oncology
Flexible Bayesian excess hazard models using low-rank thin plate splines.
QUARESMA, M; CARPENTER, J; RACHET, B;
2019
Statistical methods in medical research
On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables.
Rubio, FJ; RACHET, B; Giorgi, R; MARINGE, C; BELOT, A;
2019
Biostatistics
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