1. Distributed Regression Analysis Application in Large Distributed Data Networks: Analysis of Precision and Operational Performance
- Author
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Her, Qoua, Malenfant, Jessica, Zhang, Zilu, Vilk, Yury, Young, Jessica, Tabano, David, Hamilton, Jack, Johnson, Ron, Raebel, Marsha, Boudreau, Denise, and Toh, Sengwee
- Subjects
Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
BackgroundA 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. ObjectiveThis 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. MethodsWe 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. ResultsAll DRA results were precise (
- Published
- 2020
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