Extensions of the 2-in-1 adaptive design.

2-in-1 design Intermediate endpoint Seamless phase 2/3 design Slepian's lemma

Journal

Contemporary clinical trials
ISSN: 1559-2030
Titre abrégé: Contemp Clin Trials
Pays: United States
ID NLM: 101242342

Informations de publication

Date de publication:
08 2020
Historique:
received: 19 12 2019
revised: 30 03 2020
accepted: 31 05 2020
pubmed: 7 6 2020
medline: 25 9 2021
entrez: 7 6 2020
Statut: ppublish

Résumé

The 2-in-1 adaptive design [Chen et al. 2018] allows seamless expansion of an ongoing Phase 2 trial into a Phase 3 trial to expedite a drug development program. An intermediate endpoint can be used for the adaptive decision. Under a mild assumption that is expected to generally hold in practice, both the Phase 2 trial (in case of no expansion) and the Phase 3 trial (in case of expansion) can be tested at the full alpha level without inflating the overall Type I error of the study. Due to its flexibility and robustness, the design has quickly generated a lot of interest since its recent publication. We make three major extensions to the 2-in-1 design in this paper: 1) an increase of adaptive decisions from two to any number; 2) incorporation of the group sequential method for data monitoring; 3) expansion of the univariate design to multivariate. These extensions not only facilitate the application of 2-in-1 design in practice but also stimulate research interest in related statistical issues. Although we mainly use hypothetical trials in oncology and neuroscience for illustration, the application of the 2-in-1 design and its extensions is not limited to the two therapeutic areas.

Identifiants

pubmed: 32504820
pii: S1551-7144(20)30131-2
doi: 10.1016/j.cct.2020.106053
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106053

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Cong Chen (C)

Biostatistics and Research Decision Sciences, Merck & Co., Inc., Kenilworth, NJ 07033, USA. Electronic address: cong_chen@merck.com.

Wen Li (W)

Biostatistics and Research Decision Sciences, Merck & Co., Inc., Kenilworth, NJ 07033, USA.

Qiqi Deng (Q)

Biostatistics and Data Science, Boehringer Ingelheim Pharmaceuticals Inc, 900 Ridgebury Rd, Ridgefield, CT 06811, USA.

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