ArticleEGEMS (Washington, DC)2018
A Query Workflow Design to Perform Automatable Distributed Regression Analysis in Large Distributed Data Networks.
Article in EGEMS (Washington, DC), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals.Nature communications · 2025Article
- COVID-19 in pregnancy-what study designs can we use to assess the risk of congenital anomalies in relation to COVID-19 disease, treatment and vaccination?Paediatric and perinatal epidemiology · 2022Review
- Automatable Distributed Regression Analysis of Vertically Partitioned Data Facilitated by PopMedNet: Feasibility and Enhancement Study.JMIR medical informatics · 2021Article
- Distributed Regression Analysis Application in Large Distributed Data Networks: Analysis of Precision and Operational Performance.JMIR medical informatics · 2020Article
- Inverse probability weighted Cox model in multi-site studies without sharing individual-level data.Statistical methods in medical research · 2020Article
- Privacy-protecting multivariable-adjusted distributed regression analysis for multi-center pediatric study.Pediatric research · 2020Article
- Analytic and Data Sharing Options in Real-World Multidatabase Studies of Comparative Effectiveness and Safety of Medical Products.Clinical pharmacology and therapeutics · 2020Review
- Privacy-protecting estimation of adjusted risk ratios using modified Poisson regression in multi-center studies.BMC medical research methodology · 2019Article
- Validity of Privacy-Protecting Analytical Methods That Use Only Aggregate-Level Information to Conduct Multivariable-Adjusted Analysis in Distributed Data Networks.American journal of epidemiology · 2019Article
- Cross-Network Directory Service: Infrastructure to enable collaborations across distributed research networks.Learning health systems · 2019Article
- Predicting Adverse Drug Reactions on Distributed Health Data using Federated Learning.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Combining distributed regression and propensity scores: a doubly privacy-protecting analytic method for multicenter research.Clinical epidemiology · 2018Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPatient privacy and data security concerns often limit the feasibility of pooling patient-level data from multiple sources for analysis. Distributed data networks (DDNs) that employ privacy-protecting analytical methods, such as distributed regression analysis (DRA), can mitigate these concerns. However, DRA is not routinely implemented in large DDNs.
objectiveWe describe the design and implementation of a process framework and query workflow that allow automatable DRA in real-world DDNs that use PopMedNet™, an open-source distributed networking software platform.
methodsWe surveyed and catalogued existing hardware and software configurations at all data partners in the Sentinel System, a PopMedNet-driven DDN. Key guiding principles for the design included minimal disruptions to the current PopMedNet query workflow and minimal modifications to data partners' hardware configurations and software requirements.
resultsWe developed and implemented a three-step process framework and PopMedNet query workflow that enables automatable DRA: 1) assembling a de-identified patient-level dataset at each data partner, 2) distributing a DRA package to data partners for local iterative analysis, and 3) iteratively transferring intermediate files between data partners and analysis center. The DRA query workflow is agnostic to statistical software, accommodates different regression models, and allows different levels of user-specified automation. DISCUSSION: The process framework can be generalized to and the query workflow can be adopted by other PopMedNet-based DDNs.
conclusionDRA has great potential to change the paradigm of data analysis in DDNs. Successful implementation of DRA in Sentinel will facilitate adoption of the analytic approach in other DDNs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.