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Dashboard for Decision Curve Analysis based on Vickers et al. 2008

README

This repository contains the codes necessary to produce an interactive shiny dash board that can be found at https://pharmacoecon.shinyapps.io/DecisionCurveApp/. The original Vickers et alโ€™s code is embedded in the dashboard. The original purpose of the document was to serve as the analysis toolkit for determining the clinical utility of prediction models. The dashboard entails:

  1. Before embarking on the use of the dashboard, please have the necessary data files (*.csv or *.txt) that can be used as the input for the analysis.
  2. Allowing user to input datasets (as csv) and provide summary statistics and simple data visualization before conducting predictive modeling.
  3. Users can specify which models (e.g. logistic regression or decision tree) to use.
  4. Graphical display of the Receiver Operating Characteristic (ROC) curve and Net Benefit curve.
  5. Parameters of the parametric distributions and fit statistics can be obtained..

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