Description Usage Arguments See Also Examples

View source: R/binom_one_alpha_v1.0.R

P-value (alpha) for single arm binomial clinical trials. This is done exactly accounting for all interim analysis prior to stopping the trial.

1 | ```
binom_one_alpha(result.success, result.n, p0, failure, success, n)
``` |

`result.success` |
total successes at the end of the trial |

`result.n` |
total patients at the end of the trial |

`p0` |
Probability of success under H0 |

`failure` |
A vector of the number of failures required to stop for futility, if not able to stop NA or a character string should be provided |

`success` |
A vector of the number of successes required to stop for efficacy, if not able to stop NA or a character string should be provided |

`n` |
A vector of the total number of patients to recruit up to each stage of the trial |

`binom_one_power`

, `binom_one_assurance`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
# Simon's two stage design
failure=c(0,3)
success=c(NA,4)
n=c(7,18)
p0=0.1
result.success=4
result.n=18
# without accounting for interim analysis when calculating
# the p-value
1-pbinom(result.success-1,result.n,p0)
# account for interim analysis
binom_one_alpha(result.success,result.n,p0,failure,success,n)
``` |

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