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Distributed Regression Analysis Application in Large Distributed Data Networks: Analysis of Precision and Operational Performance
- Source :
- JMIR Medical Informatics, Vol 8, Iss 6, p e15073 (2020), JMIR Medical Informatics
- Publication Year :
- 2020
- Publisher :
- JMIR Publications, 2020.
-
Abstract
- Background A distributed data network approach combined with distributed regression analysis (DRA) can reduce the risk of disclosing sensitive individual and institutional information in multicenter studies. However, software that facilitates large-scale and efficient implementation of DRA is limited. Objective This study aimed to assess the precision and operational performance of a DRA application comprising a SAS-based DRA package and a file transfer workflow developed within the open-source distributed networking software PopMedNet in a horizontally partitioned distributed data network. Methods We executed the SAS-based DRA package to perform distributed linear, logistic, and Cox proportional hazards regression analysis on a real-world test case with 3 data partners. We used PopMedNet to iteratively and automatically transfer highly summarized information between the data partners and the analysis center. We compared the DRA results with the results from standard SAS procedures executed on the pooled individual-level dataset to evaluate the precision of the SAS-based DRA package. We computed the execution time of each step in the workflow to evaluate the operational performance of the PopMedNet-driven file transfer workflow. Results All DRA results were precise ( Conclusions We integrated a SAS-based DRA package with PopMedNet and successfully tested the new capability within an active distributed data network. The study demonstrated the validity and feasibility of using DRA to enable more privacy-protecting analysis in multicenter studies.
- Subjects :
- Operational performance
pharmacoepidemiology
Computer science
Computer applications to medicine. Medical informatics
R858-859.7
Health Informatics
computer.software_genre
PopMedNet
Execution time
03 medical and health sciences
0302 clinical medicine
Software
Health Information Management
distributed data networks
Cox proportional hazards regression
030212 general & internal medicine
privacy-protecting analytics
Original Paper
business.industry
030503 health policy & services
distributed regression analysis
Regression analysis
Workflow
File transfer
Data mining
0305 other medical science
business
computer
Analysis center
Subjects
Details
- Language :
- English
- ISSN :
- 22919694
- Volume :
- 8
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- JMIR Medical Informatics
- Accession number :
- edsair.doi.dedup.....4c16f55f6c0976caf729b588e629d268