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.


Reference manual

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install.packages("ISPYARDSWinProbabilityGSDesign")

0.1.0 by Andrew G Chapple, a year ago


Browse source code at https://github.com/cran/ISPYARDSWinProbabilityGSDesign


Authors: 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]


Documentation:   PDF Manual  


GPL-2 license


Imports DFBA


See at CRAN