Chapter 1 About

e-Campsis is a free web application developed by Calvagone that provides an intuitive and user-friendly interface for setting up population PK/PD simulations. The app is built on the R-package campsis, which serves as a powerful frontend for running model-based simulations using mrgsolve or rxode2.

1.1 e-Campsis versions

1.1.1 e-Campsis free

e-Campsis free is, as the name suggests, freely accessible to everyone without registration at https://ecampsis.shinyapps.io/free/.

It comes with certain limitations regarding the size of the simulation and misses some functionality of the pro-version.

1.1.2 e-Campsis free+

If you want to simulate up to 16 arms or scenarios, 100 subjects/arm and 250 observations/arm we invite you to become an authorized user of e-Campsis free+.

Please send us the pre-filled email below and you will get an invitation to register as soon as possible:

campsis@calvagone.com

1.1.3 e-Campsis pro

The professional version of e-Campsis is available as a yearly subscription and includes the following additional functionality:

  • Save/load e-campsis projects
  • NONMEM code import
  • Number of arms, scenarios, subjects, observations only limited by memory
  • Advanced customization of plots
  • NCA & summary statistics
  • Sensitivity analysis*
  • Forest plots
  • Upload of external data for plotting*
  • Bootstrap covariates from external file or NHANES*
  • Replicate simulation with parameter uncertainty
  • Import rxode2 and mrgsolve simulation code*
  • Personalized support via email

*Under development.

For further information, contact us at the following e-mail address:

1.2 Application interface

The app consists of 5 main sections:

  • Model: a powerful model editor to edit your Campsis model online. Try out one of the numerous models available from the library and adapt it to your needs.
  • Trial design: an easy-to-use interface to quickly set-up the dosing regimen, observation times and covariates.
  • Simulation: a single screen dedicated to the simulation configuration and visualization of the results. Explore different scenarios of parameter settings quickly and interactively.
  • Post-processing: here you can define summary variables such as non-compartmental PK parameters that you want to derive from your simulation results and show them in a table.
  • Forest plots: Easily define and generate nice-looking forest plots and explore the impact of covariates on any outcome parameter.
  • Download: last but not least, download the model, parameters and the whole code of the simulation to reproduce what you see in the app on your computer using the open-source package campsis.