An application of the Causal Roadmap in two safety monitoring case studies: Causal inference and outcome prediction using electronic health record data

Abstract Background: Real-world data, such as administrative claims and electronic health records, are increasingly used for safety monitoring and to help guide regulatory decision-making. In these settings, it is important to document analytic decisions transparently and objectively to assess and...

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Detalhes bibliográficos

Principais autores:	Brian D. Williamson, Richard Wyss, Elizabeth A. Stuart, Lauren E. Dang, Andrew N. Mertens, Romain S. Neugebauer, Andrew Wilson, Susan Gruber
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Cambridge University Press 2023-01-01
coleção:	Journal of Clinical and Translational Science
Assuntos:	Real-world data real-world evidence causal inference safety surveillance reproducibility
Acesso em linha:	https://www.cambridge.org/core/product/identifier/S2059866123006325/type/journal_article
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