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

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Detalhes bibliográficos
Publicado no:	Nature Communications vol. 16, no. 1 (2025), p. 7496-7518
Autor principal:	Ogier du Terrail, Jean
Outros 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 em:	Nature Publishing Group
Assuntos:	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
Acesso em linha:	Citation/Abstract Full Text Full Text - PDF
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