# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "BCEA" in publications use:' type: software license: GPL-3.0-only title: 'BCEA: Bayesian Cost Effectiveness Analysis' version: 2.4.7 doi: 10.1007/978-3-319-55718-2 identifiers: - type: doi value: 10.32614/CRAN.package.BCEA - type: url value: https://gianluca.statistica.it/ - type: url value: https://github.com/giabaio/BCEA/ - type: url value: https://n8thangreen.github.io/BCEA/ abstract: Produces an economic evaluation of a sample of suitable variables of cost and effectiveness / utility for two or more interventions, e.g. from a Bayesian model in the form of MCMC simulations. This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis, see Baio et al (2017) . authors: - family-names: Baio given-names: Gianluca email: g.baio@ucl.ac.uk orcid: https://orcid.org/0000-0003-4314-2570 - family-names: Berardi given-names: Andrea email: a.berardi@ucl.ac.uk orcid: https://orcid.org/0000-0002-2906-496X - family-names: Heath given-names: Anna email: anna.heath@sickkids.ca orcid: https://orcid.org/0000-0002-7263-4251 - family-names: Green given-names: Nathan email: n.green@ucl.ac.uk orcid: https://orcid.org/0000-0003-2745-1736 preferred-citation: type: book title: Bayesian Cost-Effectiveness Analysis with the R package BCEA authors: - name: Baio - name: G - name: Berardi - name: A - name: Heath year: '2017' publisher: name: Springer address: New York, NY month: '7' url: https://link.springer.com/book/10.1007/978-3-319-55718-2 doi: 10.1007/978-3-319-55718-2 isbn: 978-3-319-55718-2 repository: https://giabaio.r-universe.dev repository-code: https://github.com/n8thangreen/BCEA/issues/ commit: 4679e85e178462d639b6f098054c41b30a1e9c0e url: https://gianluca.statistica.it/software/bcea/ contact: - family-names: Baio given-names: Gianluca email: g.baio@ucl.ac.uk orcid: https://orcid.org/0000-0003-4314-2570