Description Usage Arguments Value Author(s) References Examples

View source: R/interval_posterior_nominator2.r

If we update the prior with the knowledge that two interim estimates were between a futility and efficacy boundary, we get a density that is proportional to the value of this function.

1 2 | ```
interval_posterior_nominator2(x, prior = "normal",
IntEffBoundary, IntFutBoundary, interimSE, priormean, ...)
``` |

`x` |
Value at which to evaluate the function. |

`prior` |
Prior density on effect sizes. |

`IntEffBoundary` |
Efficacy boundary at the interim analysis. |

`IntFutBoundary` |
Futility boundary at the interim analysis. |

`interimSE` |
(Known) standard error of |

`priormean` |
Prior mean. |

`...` |
Further arguments specific to the chosen prior (see |

Value of the function, a real number.

Kaspar Rufibach (maintainer)

kaspar.rufibach@roche.com

Rufibach, K., Jordan, P., Abt, M. (2016a).
Sequentially Updating the Likelihood of Success of a Phase 3 Pivotal Time-to-Event Trial based on Interim Analyses or External Information.
*J. Biopharm. Stat.*, **26**(2), 191–201.

1 | ```
# type ?bpp_2interim for code of all the computations in Rufibach et al (2016a).
``` |

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