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Recent innovations in adaptive trial designs: A review of design opportunities in translational research.
Kaizer, Alexander M; Belli, Hayley M; Ma, Zhongyang; Nicklawsky, Andrew G; Roberts, Samantha C; Wild, Jessica; Wogu, Adane F; Xiao, Mengli; Sabo, Roy T.
Afiliação
  • Kaizer AM; Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Belli HM; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
  • Ma Z; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
  • Nicklawsky AG; Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Roberts SC; Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Wild J; Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Wogu AF; Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Xiao M; Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Sabo RT; Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA.
J Clin Transl Sci ; 7(1): e125, 2023.
Article em En | MEDLINE | ID: mdl-37313381
Clinical trials are constantly evolving in the context of increasingly complex research questions and potentially limited resources. In this review article, we discuss the emergence of "adaptive" clinical trials that allow for the preplanned modification of an ongoing clinical trial based on the accumulating evidence with application across translational research. These modifications may include terminating a trial before completion due to futility or efficacy, re-estimating the needed sample size to ensure adequate power, enriching the target population enrolled in the study, selecting across multiple treatment arms, revising allocation ratios used for randomization, or selecting the most appropriate endpoint. Emerging topics related to borrowing information from historic or supplemental data sources, sequential multiple assignment randomized trials (SMART), master protocol and seamless designs, and phase I dose-finding studies are also presented. Each design element includes a brief overview with an accompanying case study to illustrate the design method in practice. We close with brief discussions relating to the statistical considerations for these contemporary designs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Guideline Idioma: En Revista: J Clin Transl Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Guideline Idioma: En Revista: J Clin Transl Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos