Towards an efficient use of available data in clinical research: Development, validation, and implementation of innovative statistical approaches in causal inference
Research Project | 01.12.2024 - 30.11.2028
|
01.12.2024
- 30.11.2028
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.
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Funding
Towards an efficient use of available data in clinical research: Development, validation, and implementation of innovative statistical approaches in causal inference
SNF Projekt (GrantsTool), 12.2024-11.2028 (48)
PI : Chammartin, Frédérique.
Publications
Bucher, Heiner C. and Chammartin, Frédérique (2025) ‘Strengthening health technology assessment for cancer treatments in Europe by integrating causal inference and target trial emulation’, The Lancet Regional Health - Europe, 52, p. 101294. Available at: https://doi.org/10.1016/j.lanepe.2025.101294.
Bucher, Heiner C. and Chammartin, Frédérique (2025) ‘Strengthening health technology assessment for cancer treatments in Europe by integrating causal inference and target trial emulation’, The Lancet Regional Health - Europe, 52, p. 101294. Available at: https://doi.org/10.1016/j.lanepe.2025.101294.
Members (4)
Frédérique Chammartin
Principal Investigator
Ottavia Prunas
Post-doc
Fuanyi Awatboh
Ph D student