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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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| Publicado no: | BMC Med Res Methodol |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6894462/ https://ncbi.nlm.nih.gov/pubmed/31805872 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-019-0878-6 |
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