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Optimal sample size division in two-stage seamless designs.
Berry, Lindsay R; Marion, Joe; Berry, Scott M; Viele, Kert.
Afiliación
  • Berry LR; Berry Consultants, LLC, Austin, Texas, USA.
  • Marion J; Berry Consultants, LLC, Austin, Texas, USA.
  • Berry SM; Berry Consultants, LLC, Austin, Texas, USA.
  • Viele K; Department of Biostatistics, University of Kansas Medical Center, Kansas City, Kansas, USA.
Pharm Stat ; 2024 Apr 27.
Article en En | MEDLINE | ID: mdl-38676420
ABSTRACT
Inferentially seamless 2/3 designs are increasingly popular in clinical trials. It is important to understand their relative advantages compared with separate phase 2 and phase 3 trials, and to understand the consequences of design choices such as the proportion of patients included in the phase 2 portion of the design. Extending previous work in this area, we perform a simulation study across multiple numbers of arms and efficacy response curves. We consider a design space crossing the choice of a separate versus seamless design with the choice of allocating 0%-100% of available patients in phase 2, with the remainder in phase 3. The seamless designs achieve greater power than their separate trial counterparts. Importantly, the optimal seamless design is more robust than the optimal separate program, meaning that one range of values for the proportion of patients used in phase 2 (30%-50% of the total phase 2/3 sample size) is nearly optimal for a wide range of response scenarios. In contrast, a percentage of patients used in phase 2 for separate trials may be optimal for some alternative scenarios but decidedly inferior for other alternative scenarios. When operationally and scientifically viable, seamless trials provide superior performance compared with separate phase 2 and phase 3 trials. The results also provide guidance for the implementation of these trials in practice.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Pharm Stat Asunto de la revista: FARMACOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Pharm Stat Asunto de la revista: FARMACOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos