# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "psrwe" in publications use:' type: software license: GPL-3.0-or-later title: 'psrwe: PS-Integrated Methods for Incorporating Real-World Evidence in Clinical Studies' version: 3.2-2 identifiers: - type: doi value: 10.32614/CRAN.package.psrwe abstract: High-quality real-world data can be transformed into scientific real-world evidence for regulatory and healthcare decision-making using proven analytical methods and techniques. For example, propensity score (PS) methodology can be applied to select a subset of real-world data containing patients that are similar to those in the current clinical study in terms of baseline covariates, and to stratify the selected patients together with those in the current study into more homogeneous strata. Then, statistical methods such as the power prior approach or composite likelihood approach can be applied in each stratum to draw inference for the parameters of interest. This package provides functions that implement the PS-integrated real-world evidence analysis methods such as Wang et al. (2019) , Wang et al. (2020) , and Chen et al. (2020) . authors: - family-names: Wang given-names: Chenguang - family-names: Chen given-names: Wei-Chen email: wccsnow@gmail.com preferred-citation: type: generic title: 'psrwe: PS-Integrated Methods for Incorporating Real-World Evidence in Clinical Studies' authors: - family-names: Wang given-names: Chenguang - family-names: Chen given-names: Wei-Chen email: wccsnow@gmail.com year: '2026' notes: R Package, URL https://cran.r-project.org/package=psrwe repository: https://cran.r-universe.dev repository-code: https://github.com/olssol/psrwe commit: ee324e4001e4aebcc2964c6811d9a730d2bd9bb7 url: https://github.com/olssol/psrwe date-released: '2026-08-21' contact: - family-names: Chen given-names: Wei-Chen email: wccsnow@gmail.com