A secure distributed logistic regression protocol for the detection of rare adverse drug events

BACKGROUND: There is limited capacity to assess the comparative risks of medications after they enter the market. For rare adverse events, the pooling of data from multiple sources is necessary to have the power and sufficient population heterogeneity to detect differences in safety and effectivenes...

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Detalles Bibliográficos
Autores principales: El Emam, Khaled, Samet, Saeed, Arbuckle, Luk, Tamblyn, Robyn, Earle, Craig, Kantarcioglu, Murat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2013
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3628043/
https://www.ncbi.nlm.nih.gov/pubmed/22871397
http://dx.doi.org/10.1136/amiajnl-2011-000735

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3628043/
https://www.ncbi.nlm.nih.gov/pubmed/22871397
http://dx.doi.org/10.1136/amiajnl-2011-000735

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