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Isotonic design for phase I cancer clinical trials with late-onset toxicities.
Wages, Nolan A; Braun, Thomas M; Conaway, Mark R.
Afiliación
  • Wages NA; Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, USA.
  • Braun TM; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
  • Conaway MR; Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA.
J Biopharm Stat ; 33(3): 357-370, 2023 05 04.
Article en En | MEDLINE | ID: mdl-36606874
ABSTRACT
This article addresses the problem of identifying the maximum tolerated dose (MTD) in Phase I dose-finding clinical trials with late-onset toxicities. The main design challenge is how best to adaptively allocate study participants to tolerable doses when the evaluation window for the toxicity endpoint is long relative to the accrual rate of new participants. We propose a new design framework based on order-restricted statistical inference that addresses this challenge in sequential dose assignments. We illustrate the proposed method on real data from a Phase I trial of bortezomib in lymphoma patients and apply it to a Phase I trial of radiotherapy in prostate cancer patients. We conduct extensive simulation studies to compare our design's operating characteristics to existing published methods. Overall, our proposed design demonstrates good performance relative to existing methods in allocating participants at and around the MTD during the study and accurately recommending the MTD at the study conclusion.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias / Antineoplásicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Biopharm Stat Asunto de la revista: FARMACOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias / Antineoplásicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Biopharm Stat Asunto de la revista: FARMACOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos