On Two-stage Seamless Adaptive Design in Clinical Trials.

Shein Chung Chow, Yi Hsuan Tu

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)52-60
Number of pages9
JournalJournal of the Formosan Medical Association = Taiwan yi zhi
Volume107
Issue number12 Suppl
DOIs
Publication statusPublished - 2008 Dec

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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