Privacy-preserving statistical analyses in Learning Health Systems
- PMID: 32172277
- DOI: 10.1038/s41390-020-0835-4
Privacy-preserving statistical analyses in Learning Health Systems
Comment on
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Privacy-protecting multivariable-adjusted distributed regression analysis for multi-center pediatric study.Pediatr Res. 2020 May;87(6):1086-1092. doi: 10.1038/s41390-019-0596-0. Epub 2019 Oct 2. Pediatr Res. 2020. PMID: 31578038 Free PMC article.
References
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- Agency for Healthcare Research and Quality. About Learning Health Systems [Internet] (Agency for Healthcare Research and Quality, Rockville, MD, 2019).
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- Toh, S. et al. Privacy-protecting multivariable-adjusted distributed regression analysis for multi-center pediatric study. Pediatr. Res. (2019). https://doi.org/10.1038/s41390-019-0596-0 . [Epub ahead of print].
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- Fröhlich, H. et al. From hype to reality: data science enabling personalized medicine. BMC Med. 16, 150 (2018). - DOI
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- Forrest, C. B., Margolis, P., Seid, M. & Colletti, R. B. PEDSnet: how a prototype pediatric learning health system is being expanded into a national network. Health Aff. 33, 1171–1177 (2014). - DOI
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- Stewart, L. A. & Clarke, M. J. Practical methodology of meta-analyses (overviews) using updated individual patient data. Stat. Med. 14, 2057–2079 (1995). - DOI
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