| Literature DB >> 21290405 |
Frank Bretz1, Willi Maurer, Gerhard Hommel.
Abstract
A variety of powerful test procedures are available for the analysis of clinical trials addressing multiple objectives, such as comparing several treatments with a control, assessing the benefit of a new drug for more than one endpoint, etc. However, some of these procedures have reached a level of complexity that makes it difficult to communicate the underlying test strategies to clinical teams. Graphical approaches have been proposed instead that facilitate the derivation and communication of Bonferroni-based closed test procedures. In this paper we give a coherent description of the methodology and illustrate it with a real clinical trial example. We further discuss suitable power measures for clinical trials with multiple primary and/or secondary objectives and use a generic example to illustrate our considerations.Mesh:
Year: 2011 PMID: 21290405 DOI: 10.1002/sim.3988
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373