inference {CLAST} | R Documentation |

Calculates exact upper and lower confidence limits from the outcome of a multi-stage group sequential trial.

```
inference(n, a, b, y, alpha, type)
```

`n` |
Design vector of planned sample sizes |

`a` |
Design vector of lower futility boundaries |

`b` |
Design vector of upper superiority boundaries |

`y` |
Actual outcome of experiment |

`alpha` |
exact coverage error |

`type` |
character, either "LR", "CP", "JT" or "ML" |

list with components

`lower` |
exact lower limit, type dependent |

`upper` |
exact lower limit, type dependent |

`est` |
ML estimate |

`type` |
selected ordering function "LR", "CP", "JT" or "ML" |

Chris J. Lloyd

Lloyd, C.J. (2020) Exact confidence limits after a group sequential single arm binary trial. Statistics in Medicine, Volume 38, 2389-2399.

```
# Example from table 1 of Lloyd (2020)
n=c(5,6,5,9)
a=c(2,4,5,12)
b=c(5,9,11,13)
y=c(4,2,5) # This is the actual outcome. The trial stopped for
# superiority at stage m=3 with s=11 successes.
inference(n,a,b,y,type="CP")
# Results happen to be identical for type="LR" but different
# for the alternative ordering functions "JT" and "ML"
```

[Package *CLAST* version 1.0.1 Index]