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sasc's Introduction

SASC: A Simple Approach to Synthetic Cohort Generation

Binder

Public COVID-19 reference data have been used for the following Shiny to generate synthetic data via the SASC algorithm. Here a comparison through the Kaplan-Meier plots is provided so that the parameters chosen for the virtual cohort can be checked against the real-world data.

  • Data - PreSurv data can be found here
  • Shiny App - Click the binder icon on the top to run the current SASC version application.

TO NOTE: The app is heavy on server side, and it can be slow - be patient.

What do you see in the app?

In the app, one can compare the Kaplan-Meier plots for each parameter (found in the cohort) for the virtual cohort and real-world data

Issues

If you have difficulties using the app, please open an issue at our bug-tracker on GitHub.

Disclaimer

SASC is a scientific application that has been developed in an academic capacity and thus comes with no warranty or guarantee of maintenance, support, or back-up of data.

sasc's People

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