Package: ISPYARDSWinProbabilityGSDesign 0.1.0

Andrew G Chapple

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.

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]

ISPYARDSWinProbabilityGSDesign_0.1.0.tar.gz
ISPYARDSWinProbabilityGSDesign_0.1.0.tar.gz(r-4.7-any)ISPYARDSWinProbabilityGSDesign_0.1.0.tar.gz(r-4.6-any)
ISPYARDSWinProbabilityGSDesign_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ISPYARDSWinProbabilityGSDesign/json (API)

# Install 'ISPYARDSWinProbabilityGSDesign' in R:

install.packages('ISPYARDSWinProbabilityGSDesign', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

CONTROL_ADVANCED_DISTRIBUTION_NO_VENT - Example of a non-parametric density estimate of advanced respiratory days in participants who were never ventilated used for simulation.
CONTROL_ADVANCED_DISTRIBUTION_VENT - Example of a non-parametric density estimate of advanced respiratory days in participants who were ventilated used for simulation.
CONTROL_VENT_DENSITY_NON_0_28 - Example of a non-parametric density estimate of ventilator days used for simulation.
Example_Data - Example of dataset used for the I-SPY ARDS win hierarchy

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 377 downloads 3 exports 1 dependencies

Last updated from:06258e34dd. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	110
source / vignettes	OK	168
linux-release-x86_64	OK	108
wasm-release	OK	97

Exports:Get_ARDS_Win_Probability Get_True_Win_Probability Sim_ARDS_Win_Probability

Dependencies:DFBA

Help page	Topics
Example of a non-parametric density estimate of advanced respiratory days in participants who were never ventilated used for simulation.	CONTROL_ADVANCED_DISTRIBUTION_NO_VENT
Example of a non-parametric density estimate of advanced respiratory days in participants who were ventilated used for simulation.	CONTROL_ADVANCED_DISTRIBUTION_VENT
Example of a non-parametric density estimate of ventilator days used for simulation.	CONTROL_VENT_DENSITY_NON_0_28
Example of dataset used for the I-SPY ARDS win hierarchy	Example_Data
Provides analysis results related to the I-SPY ARDS composite ranking.	Get_ARDS_Win_Probability
Gives the true win probability, mean ventilator days, and advanced respiratory days for a set of simulation parameters.	Get_True_Win_Probability
Provides operating characteristics for a group sequential design using the I-SPY ARDS hierarchical composite ranked endpoint and gating strategy with gating strategy and Bayesian Wilcoxon Rank-Sum test.	Sim_ARDS_Win_Probability

Package: ISPYARDSWinProbabilityGSDesign 0.1.0

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

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)