Description Usage Arguments Value Author(s) References See Also Examples

This function aims at analysing some multiple continuous endpoints with an individual testing procedure. This method, based on Union-Intersection test procedure, allows one to take into account the correlations between the different endpoints in the analysis.

1 2 | ```
indiv.1m.analysis(method, XC, XT, varX = NULL, alpha = 0.05,
alternative = "two.sided", n = NULL)
``` |

`method` |
description of the covariance matrix estimation. Two choices are possible: "Unknown" (normality assumption and unknown covariance matrix) and "Asympt" (asymptotic context). |

`XC` |
matrix of the outcomes for the control group. |

`XT` |
matrix of the outcomes for the test group. |

`varX` |
covariance matrix. Should be provided when 'method' = 'Known'. |

`alpha` |
value which correponds to the chosen Type-I error rate bound. |

`alternative` |
character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". |

`n` |
NULL. Sample size of a group, computed from |

`UnAdjPvalue` |
unadjusted p-values. |

`AdjPvalue` |
corrected p-values. |

P. Lafaye de Micheaux, B. Liquet and J. Riou

Lafaye de Micheaux P., Liquet B., Marque S., Riou J. (2014). Power and
Sample Size Determination in Clinical Trials With Multiple Primary
Continuous Correlated Endpoints, *Journal of
Biopharmaceutical Statistics*, 24, 378–397.

`global.1m.ssc`

,
`indiv.1m.ssc`

,
`global.1m.analysis`

,
`bonferroni.1m.ssc`

1 2 3 4 5 6 7 8 9 10 |

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