Seamless phase 2/3 oncology trial design with flexible sample size determination.

flexible design go/no-go criteria seamless phase 2/3 design symmetric sample size determination rule

Journal

Statistics in medicine
ISSN: 1097-0258
Titre abrégé: Stat Med
Pays: England
ID NLM: 8215016

Informations de publication

Date de publication:
15 Aug 2020
Historique:
received: 20 06 2019
revised: 19 02 2020
accepted: 13 03 2020
pubmed: 28 4 2020
medline: 22 6 2021
entrez: 28 4 2020
Statut: ppublish

Résumé

Conventional seamless phase 2/3 design with fixed sample size determination (SSD) has gained its popularity in oncology drug development due to attractive features such as significantly shortening the development timeline, minimizing sample size, as well as early decision making. However, this design is not immune to inaccurate treatment effect assumption when only limited efficacy data are available at study design stage. We propose an innovative seamless phase 2/3 study design with flexible SSD for oncology trials, in which the trial is designed under a distribution of treatment effect instead of one single assumption due to huge uncertainty of treatment effect at design stage and the sample size for end of phase 3 analysis is not predetermined at design stage, but rather dynamically determined based on observed treatment effect at phase 2 portion. Some practical sample size determination rules for end of phase 3 analysis will be discussed. The proposed design can lead to reduced sample size or/and improved power compared with conventional seamless phase 2/3 design with fixed SSD. This innovative study design can be especially useful for programs with aggressive development strategy to expedite the process in delivering efficacious treatment to patients.

Identifiants

pubmed: 32338410
doi: 10.1002/sim.8543
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2373-2386

Informations de copyright

© 2020 John Wiley & Sons, Ltd.

Références

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Auteurs

Zhaoyang Teng (Z)

Servier Pharmaceuticals, Boston, Massachusetts, USA.

Yuan Tian (Y)

Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA.

Yi Liu (Y)

Nektar Therapeutics, San Francisco, California, USA.

Guohui Liu (G)

Takeda Pharmaceuticals Inc., Cambridge, Massachusetts, USA.

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