Séminaire de Santé publique
- Vendredi 4 avril 2025 - 12h15 à 13h15
Amphi 8
Campus Carreire - université de Bordeaux
Ouvert à tous - En présentiel
Title: HIV cohorts and the development of methods to make causal inferences from observational data
Speaker: Pr Jonathan Sterne
Professor of Medical Statistics and Epidemiology
Bristol Medical School (PHS), Bristol, UK
Lien_Bristol
Forty years ago, James Robins realised that when treatments change over time standard statistical methods are not able to address bias due to ‘time-varying confounding’. With colleagues, he developed new methods (‘g-methods’) to address this problem. I will describe these methods, the key role played by HIV cohort studies in their development, and examples of their application to answer questions about causal effects of HIV treatments.
Bio :
Jonathan Sterne is Director of the NIHR Bristol Biomedical Research Centre, co-Director of Health Data Research UK South-West, and Professor of Medical Statistics and Epidemiology at the University of Bristol, UK. During the pandemic, he was co-lead of the UK’s Longitudinal Health and Wellbeing COVID-19 National Core Study, which linked population-scale electronic health records with highly characterised longitudinal population studies. This UK-wide collaboration produced research on COVID-19 vaccination and long COVID based on analyses of data on up to 55 million people, held within newly created Secure Data Environments. Jonathan is Principal Investigator of the ART Cohort Collaboration of HIV cohort studies, which works closely with the HIV-CAUSAL collaboration based at the Harvard School of Public Health.