• Research
  • Publications
  • Talks
  • Books
    • BMHE
    • BCEA book
    • BMPR
  • Software
    • BCEA
    • survHE
    • blendR
    • bmhe
    • SWSamp
    • bmeta
    • INLA
  • Blog
  • Teaching
    • Summer school
  1. BCEAweb
  • BCEA
    • CEAC plots
    • Set bcea()
  • survHE
    • Tutorial
  • blendR
  • SWSamp
    • Tutorial
  • bmeta
  • BCEAweb
  • INLA

BCEAweb: A web-application to front-end the R package BCEA

BCEA
Bayesian statistics
Health economics
Author

Gianluca Baio

Published

March 11, 2018

Shiny app Go to project site


BCEAweb is a front-end that can be used to access many of the functionalities of the R package BCEA.

It can be accessed here, but it can also be installed as a stand-alone package (to complement the BCEA functionalities) using the following commands.

install.packages(
   "BCEAweb", 
   repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org"),
   dependencies = TRUE
)

Files

The landing page of the web-app has a very short tutorial proving a very brief guide and pointing to files that can be downloaded to test its functions. These are

  • Vaccine_spreadsheet.csv: a spreadsheet with simulated values for all the model parameters for the “Vaccine” fictional example, discussed in the BCEA Book. This should be used in the tab 1. Parameter simulations of BCEAweb (click on the slider under 1. Import parameters simulation data from:, select Spreadsheet and then click on Browse to upload the file).
  • Vaccine_BUGS.zip: a zip file with the simulations for all the model parameters for the “Vaccine” fictional example, obtained from OpenBUGS. The three files need to be extracted before they can be used in BCEAWeb. This should be used in the tab 1. Parameter simulations of BCEAweb (click on the slider under 1. Import parameters simulation data from:, select BUGS and then click on Browse to upload the files).
  • PSA_vaccine.csv: a spreadsheet containing the processed simulations to obtain the values for the variables of costs and benefits. These can be used in the tab 2. Economic analysis of BCEAweb.

Last updated: 14 April 2025

References

Baio, G. 2020. “survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modelling.” Journal of Statistical Software 95 (October): 1–47. https://doi.org/10.18637/jss.v095.i14.
Baio, G, A Berardi, and A Heath. 2017. Bayesian Cost-Effectiveness Analysis with the R Package BCEA. Springer. https://doi.org/10.1007/978-3-319-55718-2.
bmeta
INLA

© Gianluca Baio 2022-2024