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. 2021 Apr 23;9(4):e21459. doi: 10.2196/21459

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©Qoua Her, Thomas Kent, Yuji Samizo, Aleksandra Slavkovic, Yury Vilk, Sengwee Toh. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 23.04.2021.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.

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Enhanced PopMedNet workflow to enable automatable distributed regression analysis in vertically partitioned data environments. In this hypothetical example, surgery, sex, and race are the independent variables, while BMI is the dependent variable. Data-contributing site 1 has data on the independent variables, while data-contributing site 2 has data on the dependent variable.