# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "outstandR" in publications use:' type: software license: GPL-3.0-or-later title: 'outstandR: Model-Based Standardisation for Indirect Treatment Comparison with Limited Subject-Level Data' version: 1.0.0.9000 doi: 10.32614/CRAN.package.outstandR abstract: For the problem of indirect treatment comparison with limited subject-level data, this package provides tools for model-based standardisation with several different computation approaches. See Remiro‐Azócar A, Heath A, Baio G (2022) ``Parametric G‐computation for compatible indirect treatment comparisons with limited individual patient data'', Res. Synth. Methods, 1–31. ISSN 1759-2879, . authors: - family-names: Green given-names: Nathan email: n.green@ucl.ac.uk orcid: https://orcid.org/0000-0003-2745-1736 website: https://ror.org/02jx3x895 - family-names: Gao given-names: Chengyang email: chengyang.gao.15@ucl.ac.uk - family-names: Remiro-Azocar given-names: Antonio email: antonio.remiro-azocar@bayer.com orcid: https://orcid.org/0000-0002-7263-4251 repository: https://statisticshealtheconomics.r-universe.dev repository-code: https://github.com/StatisticsHealthEconomics/outstandR/issues/ commit: 070064edc17cac30ef9baad10e4f7f3faf24a623 url: https://StatisticsHealthEconomics.github.io/outstandR/ date-released: '2026-05-19' contact: - family-names: Green given-names: Nathan email: n.green@ucl.ac.uk orcid: https://orcid.org/0000-0003-2745-1736 website: https://ror.org/02jx3x895