FedECA: federated external control arms for causal inference with time-to-event data in distributed settings

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Detalles Bibliográficos
Publicado en:	Nature Communications vol. 16, no. 1 (2025), p. 7496-7518
Autor principal:	Ogier du Terrail, Jean
Otros Autores:	Klopfenstein, Quentin, Li, Honghao, Mayer, Imke, Loiseau, Nicolas, Hallal, Mohammad, Debouver, Michael, Camalon, Thibault, Fouqueray, Thibault, Arellano Castro, Jorge, Yanes, Zahia, Dahan, Laëtitia, Taïeb, Julien, Laurent-Puig, Pierre, Bachet, Jean-Baptiste, Zhao, Shulin, Nicolle, Remy, Cros, Jérôme, Gonzalez, Daniel, Carreras-Torres, Robert, Garcia Velasco, Adelaida, Abdilleh, Kawther, Doss, Sudheer, Balazard, Félix, Andreux, Mathieu
Publicado:	Nature Publishing Group
Materias:	Food & Drug Administration > FDA Clinical trials Patients Machine learning Data processing Regression analysis Probability learning Effectiveness Pharmaceutical industry Pancreatic cancer Oncology Information sharing Privacy Metastases Chemotherapy Federated learning Drug development Statistical methods Social
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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