Privacy-protecting estimation of adjusted risk ratios using modified Poisson regression in multi-center studies

BACKGROUND: Multi-center studies can generate robust and generalizable evidence, but privacy considerations and legal restrictions often make it challenging or impossible to pool individual-level data across data-contributing sites. With binary outcomes, privacy-protecting distributed algorithms to...

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Detalles Bibliográficos
Autores principales: Shu, Di, Young, Jessica G., Toh, Sengwee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894462/
https://www.ncbi.nlm.nih.gov/pubmed/31805872
http://dx.doi.org/10.1186/s12874-019-0878-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894462/
https://www.ncbi.nlm.nih.gov/pubmed/31805872
http://dx.doi.org/10.1186/s12874-019-0878-6

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