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Towards an efficient use of available data in clinical research: Development, validation, and implementation of innovative statistical approaches in causal inference

Research Project
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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.

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.


Members (4)

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Frédérique Chammartin

Principal Investigator
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Ottavia Prunas

Post-doc
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Fuanyi Awatboh

Ph D student
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Tristan Lee

Ph D student