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 |