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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| 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 |