Package: ISPYARDSWinProbabilityGSDesign Type: Package Title: Trial Design in Respiratory Disease Based on the Win Probability Version: 0.1.0 Authors@R: c(person("Andrew G", "Chapple", role = c("aut","cre"), email="a.chapple@qlhc.org"), person("Andrew", "Chapple", role = c("ctb"), email = "andrewchapple21@gmail.com"), person("Peter", "Norwood", role = c("ctb"), email = "p.norwood@qlhc.org"), person("Martin", "Eklund", role = c("ctb"), email = "martin.eklund@ki.se"), person("Derek", "Russell", role = c("ctb"), email = "dwrussell@uabmc.edu"), person("Phil", "Beineke", role = c("ctb"), email = "p.beineke@qlhc.org"), person("Quantum Leap Healthcare Collaborative", role=c("ctb","cph")) ) Description: Provides analysis results and trial simulation functions for the I-SPY Acute Respiratory Disease Syndrome trial based on composite ranked outcomes. The composite ranked outcome is a hierarchical outcome where trial participants are ranked first by 28 day mortality, then ventilator days, then by advanced respiratory support days. A Bayesian win probability approach is used for analysis. Trial design options include group sequential looks for safety, superiority, futility, and adjustment of randomization probabilities. License: GPL-2 Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.2 Imports: DFBA NeedsCompilation: no Packaged: 2026-07-12 07:22:18 UTC; root Author: Andrew G Chapple [aut, cre], Andrew Chapple [ctb], Peter Norwood [ctb], Martin Eklund [ctb], Derek Russell [ctb], Phil Beineke [ctb], Quantum Leap Healthcare Collaborative [ctb, cph] Maintainer: Andrew G Chapple Depends: R (>= 3.5.0) Repository: https://cran.r-universe.dev Date/Publication: 2025-09-15 09:10:25 UTC RemoteUrl: https://github.com/cran/ISPYARDSWinProbabilityGSDesign RemoteRef: HEAD RemoteSha: 06258e34dd7804e76ccab9f6ccb70af1efb9ae28