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ISPYARDSWinProbabilityGSDesign  

Trial Design in Respiratory Disease Based on the Win Probability
View on CRAN: Click here


Download and install ISPYARDSWinProbabilityGSDesign package within the R console
Install from CRAN:
install.packages("ISPYARDSWinProbabilityGSDesign")

Install from Github:
library("remotes")
install_github("cran/ISPYARDSWinProbabilityGSDesign")

Install by package version:
library("remotes")
install_version("ISPYARDSWinProbabilityGSDesign", "0.1.0")



Attach the package and use:
library("ISPYARDSWinProbabilityGSDesign")
Maintained by
Andrew G Chapple
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-15
Latest Update: 2025-09-15
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.
How to cite:
Andrew G Chapple (2025). ISPYARDSWinProbabilityGSDesign: Trial Design in Respiratory Disease Based on the Win Probability. R package version 0.1.0, https://cran.r-project.org/web/packages/ISPYARDSWinProbabilityGSDesign. Accessed 17 Jul. 2026.
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