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.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | DFBA |
| Published: | 2025-09-15 |
| DOI: | 10.32614/CRAN.package.ISPYARDSWinProbabilityGSDesign |
| 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 <a.chapple at qlhc.org> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | ISPYARDSWinProbabilityGSDesign results |
| Reference manual: | ISPYARDSWinProbabilityGSDesign.html , ISPYARDSWinProbabilityGSDesign.pdf |
| Package source: | ISPYARDSWinProbabilityGSDesign_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): ISPYARDSWinProbabilityGSDesign_0.1.0.tgz, r-oldrel (arm64): ISPYARDSWinProbabilityGSDesign_0.1.0.tgz, r-release (x86_64): ISPYARDSWinProbabilityGSDesign_0.1.0.tgz, r-oldrel (x86_64): ISPYARDSWinProbabilityGSDesign_0.1.0.tgz |
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