Adaptive Subgroup Selection in Group Sequential Trials


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Documentation for package ‘ASSISTant’ version 1.4.2

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ASSISTant-package Three stage group sequential adaptive design with subgroup selection
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 of Lai, Lavori and Liao.
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
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