Description Usage Arguments Value Examples

by maximizing conditional assurance probability by Definition 4 using simulation when regional treatment effects are sightly different.

1 2 | ```
alloc.def4(r0, alpha = 0.05, beta = 0.2, lamda, lamda_cen, L, s, u,
eps = 0.1, grid = 0.1, n = 1e+05)
``` |

`r0` |
True overall log hazard ratio |

`alpha` |
The risk of rejecting the null hypothesis H0:r0>=0 when it is really true |

`beta` |
The risk of failing to reject the null hypothesis H0:r0>=0 when it is really false |

`lamda` |
The event hazard rate for placebo |

`lamda_cen` |
The discontinuation hazard rate |

`L` |
The whole study duration of fixed study duration design |

`s` |
Number of regions participating in the MRCT |

`u` |
A vector presents ratios of true regional log hazard ratios to true overall log hazard ratio r=u*r0 |

`eps` |
Significance level of not rejecting H0 in Definition 4 |

`grid` |
Grid interval of the grid research |

`n` |
Simulation times |

A list

1 2 3 |

carolinewei/apsurvival documentation built on Nov. 4, 2019, 8:44 a.m.

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