ISPYARDSWinProbabilityGSDesign: Trial Design in Respiratory Disease Based on the Win Probability

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
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

Documentation:

Reference manual:

ISPYARDSWinProbabilityGSDesign.html , ISPYARDSWinProbabilityGSDesign.pdf

Downloads:

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

Linking:

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