| Literature DB >> 24577792 |
Samuel S Wu1, Yi-Hsuan Tu, Ying He.
Abstract
Adaptive design of clinical trials has attracted considerable interest because of its potential of reducing costs and saving time in the clinical development process. In this paper, we consider the problem of assessing the effectiveness of a test treatment over a control by a two-arm randomized clinical trial in a potentially heterogenous patient population. In particular, we study enrichment designs that use accumulating data from a clinical trial to adaptively determine patient subpopulation in which the treatment effect is eventually assessed. A hypothesis testing procedure and a lower confidence limit are presented for the treatment effect in the selected patient subgroups. The performances of the new methods are compared with existing approaches through a simulation study.Entities:
Keywords: clinical trial; enrichment; hypothesis test; lower confidence limit; two-stage design
Mesh:
Year: 2014 PMID: 24577792 PMCID: PMC4362733 DOI: 10.1002/sim.6127
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373