Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15073, first published .
Distributed Regression Analysis Application in Large Distributed Data Networks: Analysis of Precision and Operational Performance

Distributed Regression Analysis Application in Large Distributed Data Networks: Analysis of Precision and Operational Performance

Distributed Regression Analysis Application in Large Distributed Data Networks: Analysis of Precision and Operational Performance

Journals

  1. Fuller C, Hua W, Leonard C, Mosholder A, Carnahan R, Dutcher S, King K, Petrone A, Rosofsky R, Shockro L, Young J, Min J, Binswanger I, Boudreau D, Griffin M, Adgent M, Kuntz J, McMahill-Walraven C, Pawloski P, Ball R, Toh S. Developing a Standardized and Reusable Method to Link Distributed Health Plan Databases to the National Death Index: Methods Development Study Protocol. JMIR Research Protocols 2020;9(11):e21811 View
  2. Her Q, Kent T, Samizo Y, Slavkovic A, Vilk Y, Toh S. Automatable Distributed Regression Analysis of Vertically Partitioned Data Facilitated by PopMedNet: Feasibility and Enhancement Study. JMIR Medical Informatics 2021;9(4):e21459 View
  3. Maro J, Nguyen M, Kolonoski J, Schoeplein R, Huang T, Dutcher S, Dal Pan G, Ball R. Six Years of the US Food and Drug Administration's Postmarket Active Risk Identification and Analysis System in the Sentinel Initiative: Implications for Real World Evidence Generation. Clinical Pharmacology & Therapeutics 2023;114(4):815 View
  4. Her Q, Li D, Vilk Y, Young J, Zhang Z, Malenfant J, Malek S, Toh S. A Distributed Regression Analysis Application Package Using SAS. Statistics in Biosciences 2024 View