Description Usage Arguments Value References Examples

Search criterion to find the Optimal, Minimax, Admissible and Maximized power design stopping boundary and corresponding sample size

1 2 | ```
binom.design(type = c("minimax","optimal","maxpower","admissible"), p0, p1,
signif.level=0.05, power.level=0.85, nmax=100, plot.out = FALSE)
``` |

`type` |
the output types of design, choose from "minimax","optimal","admissible" and "maxpower" |

`p0` |
undesirable response rate. |

`p1` |
desirable response rate for treatment efficacy. |

`signif.level` |
threshold for the probability of declaring drug desirable under p0. |

`power.level` |
threshold for the probability of declaring drug desirable under p1. |

`nmax` |
maximum total sample size |

`plot.out` |
logical; if FALSE (default), do not output plot, otherwise, output a plot for design selection. |

`boundset` |
the boundaries set: |

Simon, R. (1989).
*Optimal two-stage designs for phase II clinical trials.*
*Controlled clinical trials* **10(1)**, 1-10.

Jung, S. H., Lee, T., Kim, K., & George, S. L. (2004).
*Admissible two-stage designs for phase II cancer clinical trials.*
*Statistics in medicine* **23(4)**, 561-569.

1 2 | ```
binom.design(type = "admissible", p0 = 0.15, p1 = 0.3, signif.level = 0.05, power.level = 0.9,
plot.out = TRUE)
``` |

```
r1 n1 r n EN.p0. PET.p0. error power
Optimal 5 30 17 82 45.05006 0.7105757 0.04609244 0.9007424
Admissible 5 31 16 76 45.28032 0.6826597 0.04694758 0.9037415
Admissible.1 6 36 15 70 45.86191 0.7099439 0.04654875 0.9000510
Minimax 6 42 14 64 51.80052 0.5545216 0.04845876 0.9002785
```

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