# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "rdborrow" in publications use:' type: software license: Apache-2.0 title: 'rdborrow: External Control Borrowing for Rare Disease Trials' version: 0.0.5.1 doi: 10.32614/CRAN.package.rdborrow abstract: Implements causal inference methods for incorporating external control data into randomized controlled trials (RCTs) with longitudinal outcomes. Provides an analysis module supporting weighting-based methods such as inverse probability weighting (IPW) and augmented inverse probability weighting (AIPW), difference-in-differences (DID), and synthetic control approaches for borrowing external control information, as well as a simulation module for generating trial and external control data, evaluating estimator performance via Monte Carlo studies, and conducting power analyses for sample size determination. Methods are based on Zhou et al. (2025) and Zhou et al. (2024) . authors: - family-names: Shi given-names: Lei email: leishi1998@gmail.com - family-names: Secrest given-names: Matt email: secrmatt@gmail.com orcid: https://orcid.org/0000-0002-0939-4902 - family-names: Pang given-names: Herbert - family-names: Chen given-names: Chen - family-names: Zhu given-names: Jiawen repository: https://cran.r-universe.dev repository-code: https://github.com/Genentech/rdborrow commit: b073b4cd113219b536b6b87dbad59ad9b9a0bc5b url: https://genentech.github.io/rdborrow/ date-released: '2026-10-30' contact: - family-names: Secrest given-names: Matt email: secrmatt@gmail.com orcid: https://orcid.org/0000-0002-0939-4902