Adaptive graph-based multiple testing procedures.

ABSTRACT: Multiple testing procedures defined by directed, weighted graphs have recently been proposed as an intuitive visual tool for constructing multiple testing strategies that reflect the often complex contextual relations between hypotheses in clinical trials. Many well-known sequentially rejective tests, such as (parallel) gatekeeping tests or hierarchical testing procedures are special cases of the graph based tests. We generalize these graph-based multiple testing procedures to adaptive trial designs with an interim analysis. These designs permit mid-trial design modifications based on unblinded interim data as well as external information, while providing strong family wise error rate control. To maintain the familywise error rate, it is not required to prespecify the adaption rule in deta

SUBMITTER: Klinglmueller F 

PROVIDER: S-EPMC4789493 | biostudies-literature | 2014 Nov-Dec

REPOSITORIES: biostudies-literature