Description Usage Arguments Details Value Author(s) References Examples

Sample sizes for the exact Fisher type test for noninferiority

1 | ```
bi2ste2(eps, alpha, p1, p2, bet, qlambd)
``` |

`eps` |
noninferiority margin to the odds ratio |

`alpha` |
significance level |

`p1` |
success rate in Population 1 |

`p2` |
success rate in Population 2 |

`bet` |
target power value |

`qlambd` |
sample size ratio |

The program computes the smallest sample sizes *m*,*n* satisfying
*m/n = λ* required for ensuring that the power of the randomized UMPU test does not
fall below *β*.

`eps` |
noninferiority margin to the odds ratio |

`alpha` |
significance level |

`p1` |
success rate in Population 1 |

`p2` |
success rate in Population 2 |

`bet` |
target power value |

`qlambd` |
sample size ratio |

`M` |
minimum size of Sample 1 |

`N` |
minimum size of Sample 2 |

`POW` |
power of the randomized UMPU test attained with the computed values of m, n |

Stefan Wellek <[email protected]>

Peter Ziegler <[email protected]>

Wellek S: Testing statistical hypotheses of equivalence and noninferiority. Second edition. Boca Raton: Chapman & Hall/CRC Press, 2010, 6.6.1.

1 | ```
bi2ste2(0.5,0.05,0.9245,0.9065,0.80,1.00)
``` |

EQUIVNONINF documentation built on Sept. 19, 2017, 5:06 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.