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Federated causal inference based on real-world observational data sources: application to a SARS-CoV-2 vaccine effectiveness assessment
Marjan Meurisse, Francisco Estupiñán-Romero, Javier González-Galindo, Natalia Martínez-Lizaga, Santiago Royo-Sierra, Simon Saldner, Lorenz Dolanski-Aghamanoukjan, Alexander Degelsegger-Marquez, Stian Soiland-Reyes, Nina Van Goethem & Enrique Bernal-Delgado for the BeYond-COVID project. Federated causal inference based on real-world observational data sources: application to a SARS-CoV-2 vaccine effectiveness assessment. BMC Med Res Methodol 23, 248 (2023). https://doi.org/10.1186/s12874-023-02068-3