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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 2023
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Francisco Estupiñán-Romero, Nina Van Goethem, Marjan Meurisse, Javier González-Galindo, Enrique Bernal-Delgado. BY-COVID – WP5 – Baseline Use Case: SARS-CoV-2 vaccine effectiveness assessment. 2023
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Natalia Martínez-Lizaga, Marjan Meurisse, Francisco Estupiñan-Romero, Nina Van Goethem, & Enrique Bernal-Delgado. (2023). BY-COVID – WP5 – Baseline Use Case: COVID-19 vaccine effectiveness assessment – Data Management Plan
Estupiñán-Romero, Francisco, Van Goethem, Nina, Meurisse, Marjan, González-Galindo, Javier, & Bernal-Delgado, Enrique. (2023). BY-COVID – WP5 – Baseline Use Case: SARS-CoV-2 vaccine effectiveness assessment – Common Data Model Specification
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Giles, Tom, Quinlan, Phil, Belien, Jeroen, Lischke, Julia, Portell-Silva, Laura, Capella-Gutierrez, Salvador, Karki, Reagon, Kalaitzi, Vasso, Bernal-Delgado, Enrique, & Keppler, Antje. (2022). BY-COVID- D2.1 – Initial data and metadata harmonisation at domain level to enable fast responses to COVID-19 (V1.0)
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