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MultiGroupSequential (version 1.1.0)

MultiGroupSequential-package: MultiGroupSequential: Group-Sequential Procedures with Multiple Hypotheses

Description

It is often challenging to strongly control the family-wise type-1 error rate in the group-sequential trials with multiple endpoints (hypotheses). The inflation of type-1 error rate comes from two sources (S1) repeated testing individual hypothesis and (S2) simultaneous testing multiple hypotheses. The 'MultiGroupSequential' package is intended to help researchers to tackle this challenge. The procedures provided include the sequential procedures described in Luo and Quan (2023) tools:::Rd_expr_doi("10.1080/19466315.2023.2191989") and the graphical procedure proposed by Maurer and Bretz (2013) tools:::Rd_expr_doi("10.1080/19466315.2013.807748"). Luo and Quan (2013) describes three procedures, and the functions to implement these procedures are (1) seqgspgx() implements a sequential graphical procedure based on the group-sequential p-values; (2) seqgsphh() implements a sequential Hochberg/Hommel procedure based on the group-sequential p-values; and (3) seqqvalhh() implements a sequential Hochberg/Hommel procedure based on the q-values. In addition, seqmbgx() implements the sequential graphical procedure described in Maurer and Bretz (2013).

Arguments

Author

Maintainer: Xiaodong Luo Xiaodong.Luo@sanofi.com

Other contributors:

  • Hui Quan [contributor]

  • Sanofi [copyright holder]

References

Xiaodong Luo & Hui Quan (2023) Some Multiplicity Adjustment Procedures for Clinical Trials with Sequential Design and Multiple Endpoints, Statistics in Biopharmaceutical Research, DOI: 10.1080/19466315.2023.2191989.

Willi Maurer & Frank Bretz (2013) Multiple Testing in Group Sequential Trials Using Graphical Approaches, Statistics in Biopharmaceutical Research, 5:4, 311-320, DOI: 10.1080/19466315.2013.807748