R: Adaptive Subgroup Selection in Group Sequential Trials

# Adaptive Subgroup Selection in Group Sequential Trials

## Documentation for package ‘ASSISTant’ version 1.4.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ASSISTant | Three stage group sequential adaptive design with subgroup selection
ASSISTDesign | A class to encapsulate the adaptive clinical trial design of Lai, Lavori and Liao
ASSISTDesignB | A fixed sample design to compare against the adaptive clinical trial design
ASSISTDesignC | A fixed sample RCT design to compare against the adaptive clinical trial design of Lai, Lavori and Liao.
colNamesForStage | Return a vector of column names for statistics for a given stage
computeMeanAndSD | Compute the mean and sd of a discrete Rankin distribution
computeMHPBoundaries | Compute the three modified Haybittle-Peto boundaries
computeMHPBoundaryITT | Compute the three modified Haybittle-Peto boundaries and effect size
conformParameters | Conform designParameters so that weights are turned in to probabilities, the null and control distributions are proper matrices etc.
DEFUSE3Design | The DEFUSE3 design
generateDiscreteData | A data generation function using a discrete distribution for Rankin score rather than a normal distribution
generateNormalData | A data generation function along the lines of what was used in the Lai, Lavori, Liao paper. score rather than a normal distribution
groupSampleSize | Compute the sample size for any group at a stage assuming a nested structure as in the paper.
LLL.SETTINGS | Design and trial settings used in the Lai, Lavori, Liao paper simulations
mHP.b | Compute the efficacy boundary (modified Haybittle-Peto) for the first two stages
mHP.btilde | Compute the futility boundary (modified Haybittle-Peto) for the first two stages
mHP.c | Compute the efficacy boundary (modified Haybittle-Peto) for the final (third) stage
wilcoxon | Compute the standardized Wilcoxon test statistic for two samples