Federated causal inference based on real-world observational data sources: application to a SARS-CoV-2 vaccine effectiveness assessmentAbstractIntroductionMethodsResultsConclusions

Last updated on 23-11-2023 by Marjan Meurisse

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Peer reviewed scientific article



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Introduction Causal inference helps researchers and policy-makers to evaluate public health interventions. When comparing interventions or public health programs by leveraging observational sensitive individual-level data from populations crossing jurisdictional borders, a federated approach (as opposed to a pooling data approach) can be used. Approaching causal inference by re-using routinely collected observational data across different regions in a federated manner, is challenging and guidance is currently lacking. With the aim of filling this gap and allowing a rapid response in the …

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