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---+ Visual Pruner: Visually guided cohort selection for observational studies ---+++ Using the app online (free) *Please note that as of 06 Feb 2022, this version does not have full functionality in all browsers. I am hoping to fix the problem soon.* [[https://statcomp2.app.vumc.org/VisualPruner/]] ---+++ Running the app on your local machine (also free; useful for large or secure datasets) I am hoping to release an R package soon, which will make this easier. In the meantime, here are the steps you need to follow to run Visual Pruner in RStudio: 1. Follow the link above to start Visual Pruner in your browser. 1. Click on the "R" tab. 1. Make sure you have all of the packages listed in the "R session information" panel. 1. Copy the contents of the "server.R" panel, and save the file as "server.R" on your machine. 1. Copy the contents of the "ui.R" panel, and save the file as "ui.R" on your machine, in the same directory as your new server.R file. 1. Do the same thing with "plottingFunctions.R", "psFunctions.R", and "smdFunctions.R". 1. Open the server.R or ui.R file in RStudio, and click the "runApp" button. Or you can use the ==runGitHub()== function from the ==shiny== package, with arguments ==repo= "VisualPruner", username= "LaurenSamuels"==. ---+++ Overview video [[https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016/Visual-Pruner-A-Shiny-app-for-cohort-selection-in-observational-studies][Presentation from useR! 2016]] ---+++ Introductory article Samuels, L. R., & Greevy, R. A., Jr. (2018). Visual Pruner: Visually Guided Cohort Selection for Observational Studies. Observational Studies, 4, 150–170. https://obsstudies.org/visual-pruner-visually-guided-cohort-selection-observational-studies/ ---+++ Github repository [[https://github.com/LaurenSamuels/VisualPruner]] ---+++ Questions, comments, requests All are welcome. Please contact [[LaurieSamuels][Lauren Samuels]]. -- Main.LaurieSamuels - 01 Sep 2015
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Topic revision: r17 - 06 Feb 2022,
LaurieSamuels
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