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Dose-Finding Based on Bivariate Efficacy-Toxicity Outcome Using Archimedean Copula

In dose-finding clinical study, it is common that multiple endpoints are of interest. For instance, efficacy and toxicity endpoints are both primary in clinical trials. In this article, we propose a joint model for correlated efficacy-toxicity outcome constructed with Archimedean Copula, and extend...

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Detalles Bibliográficos
Autores principales: Tao, Yuxi, Liu, Junlin, Li, Zhihui, Lin, Jinguan, Lu, Tao, Yan, Fangrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3827126/
https://www.ncbi.nlm.nih.gov/pubmed/24265719
http://dx.doi.org/10.1371/journal.pone.0078805
Descripción
Sumario:In dose-finding clinical study, it is common that multiple endpoints are of interest. For instance, efficacy and toxicity endpoints are both primary in clinical trials. In this article, we propose a joint model for correlated efficacy-toxicity outcome constructed with Archimedean Copula, and extend the continual reassessment method (CRM) to a bivariate trial design in which the optimal dose for phase III is based on both efficacy and toxicity. Specially, considering numerous cases that continuous and discrete outcomes are observed in drug study, we will extend our joint model to mixed correlated outcomes. We demonstrate through simulations that our algorithm based on Archimedean Copula model has excellent operating characteristics.