Dr. Frédérique Chammartin

This project develops and enhances G-methods to improve causal inference in clinical research by combining longitudinal data with advanced statistical techniques, addressing time-varying treatments, confounders, and spatial correlations.

This multicenter randomized controlled trial embedded in the Swiss HIV Cohort Study and the Swiss Transplant Cohort Study provides crucial information about the efficacy and safety of the mRNA SARS-CoV-2 vaccines.  

Maps of geographical patterns and trends of incidence, mortality and management of gender-related cancers (i.e. breast, ovarian, cervix and uterus in women and prostate and testis in men) as well as estimates of the future disease burden at different regional scales is important for the design, implementation and evaluation of cancer programs. Over the last fifteen years, Bayesian spatio-temporal models are the state of art methodology in disease mapping, however they have not yet been applied to Swiss cancer data.

The International epidemiology Databases to Evaluate AIDS Southern Africa collaboration (IeDEA-SA) undertakes research to improve the long-term delivery of HIV care and ART services. The combined database includes individual-level data on more than 640,000 adults and children on ART in 17 large collaborating cohorts in Malawi, Zambia, South Africa, Mozambique, Lesotho and Zimbabwe.

The MeSH Consortium develop, test and implement innovative and efficient methods for routine HIV measurement and surveillance.

The aim of the MET-REPAIR study is to address the question: “Are METs estimated by questionnaire associated with perioperative major adverse cardiovascular events and cardiovascular mortality in patients undergoing elevated-risk, noncardiac surgery?”