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triggerstrategy (version 1.2.0)

Trigger Strategy in Clinical Trials

Description

The trigger strategy is a general framework for a multistage statistical design with multiple hypotheses, allowing an adaptive selection of interim analyses. The selection of interim stages can be associated with some prespecified endpoints which serve as the trigger. This selection allows us to refine the critical boundaries in hypotheses testing procedures, and potentially increase the statistical power. This package includes several trial designs using the trigger strategy. See Gou, J. (2023), "Trigger strategy in repeated tests on multiple hypotheses", Statistics in Biopharmaceutical Research, 15(1), 133-140, and Gou, J. (2022), "Sample size optimization and initial allocation of the significance levels in group sequential trials with multiple endpoints", Biometrical Journal, 64(2), 301-311.

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Version

Install

install.packages('triggerstrategy')

Monthly Downloads

116

Version

1.2.0

License

GPL-3

Maintainer

Jiangtao Gou

Last Published

July 4th, 2023

Functions in triggerstrategy (1.2.0)

solveAlphaXsampleSize

Sample size calculation
boundary2alpha

Convert normal critical boundaries to cumulative alpha levels.
solveAlphaXsampleSizeGA

Sample size calculation using Genetic Algorithms
sPwRph2

Power of testing the secondary hypothesis in partially hierarchical design
psPwRtrigger

Powers of testing the primary and secondary hypotheses using trigger strategy
sPwRtrigger

Power of testing the secondary hypothesis using Trigger strategy
sBoundsPh2

Critical boundaries for the secondary endpoint in the partially hierarchical group sequential design
sPwRholmye

Power of testing the secondary hypothesis using Holm-Ye
sPwRnaiveBonf

Power of testing the secondary hypothesis using Bonferroni
corrMatGenerator

Correlation matrix generator
gbounds

Critical boundary in group sequential trials
sErrRphInt2

Type I error rate of the overall null hypothesis using the partial hierarchical design
alpha2boundary

Convert cumulative alpha levels to normal critical boundaries
sPwRholm

Power of testing the secondary hypothesis using Holm
marginalPwR

Marginal Power Rate
psPwRbhmb

Powers of testing the primary and secondary hypotheses