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

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

Abstract 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 algori...

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Bibliographic Details
Main Authors: Di Shu, Jessica G. Young, Sengwee Toh
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Medical Research Methodology
Subjects:
Distributed analysis
Modified Poisson regression
Multi-center studies
Odds ratio
Privacy protection
Risk ratio
Online Access:https://doi.org/10.1186/s12874-019-0878-6

Internet

https://doi.org/10.1186/s12874-019-0878-6

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