On Two-stage Seamless Adaptive Design in Clinical Trials.

Published

Journal Article

In recent years, the use of adaptive design methods in clinical research and development based on accrued data has become very popular because of its efficiency and flexibility in modifying trial and/or statistical procedures of ongoing clinical trials. One of the most commonly considered adaptive designs is probably a two-stage seamless adaptive trial design that combines two separate studies into one single study. In many cases, study endpoints considered in a two-stage seamless adaptive design may be similar but different (e.g. a biomarker versus a regular clinical endpoint or the same study endpoint with different treatment durations). In this case, it is important to determine how the data collected from both stages should be combined for the final analysis. It is also of interest to know how the sample size calculation/allocation should be done for achieving the study objectives originally set for the two stages (separate studies). In this article, formulas for sample size calculation/allocation are derived for cases in which the study endpoints are continuous, discrete (e.g. binary responses), and contain time-to-event data assuming that there is a well-established relationship between the study endpoints at different stages, and that the study objectives at different stages are the same. In cases in which the study objectives at different stages are different (e.g. dose finding at the first stage and efficacy confirmation at the second stage) and when there is a shift in patient population caused by protocol amendments, the derived test statistics and formulas for sample size calculation and allocation are necessarily modified for controlling the overall type I error at the prespecified level.

Full Text

Duke Authors

Cited Authors

  • Chow, S-C; Tu, Y-H

Published Date

  • December 2008

Published In

Volume / Issue

  • 107 / 12 Suppl

Start / End Page

  • 52 - 60

PubMed ID

  • 19129046

Pubmed Central ID

  • 19129046

International Standard Serial Number (ISSN)

  • 0929-6646

Digital Object Identifier (DOI)

  • 10.1016/s0929-6646(09)60009-7

Language

  • eng

Conference Location

  • Singapore