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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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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 |
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author | Tao, Yuxi Liu, Junlin Li, Zhihui Lin, Jinguan Lu, Tao Yan, Fangrong |
author_facet | Tao, Yuxi Liu, Junlin Li, Zhihui Lin, Jinguan Lu, Tao Yan, Fangrong |
author_sort | Tao, Yuxi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3827126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38271262013-11-21 Dose-Finding Based on Bivariate Efficacy-Toxicity Outcome Using Archimedean Copula Tao, Yuxi Liu, Junlin Li, Zhihui Lin, Jinguan Lu, Tao Yan, Fangrong PLoS One Research Article 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. Public Library of Science 2013-11-12 /pmc/articles/PMC3827126/ /pubmed/24265719 http://dx.doi.org/10.1371/journal.pone.0078805 Text en © 2013 Yan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Tao, Yuxi Liu, Junlin Li, Zhihui Lin, Jinguan Lu, Tao Yan, Fangrong Dose-Finding Based on Bivariate Efficacy-Toxicity Outcome Using Archimedean Copula |
title | Dose-Finding Based on Bivariate Efficacy-Toxicity Outcome Using Archimedean Copula |
title_full | Dose-Finding Based on Bivariate Efficacy-Toxicity Outcome Using Archimedean Copula |
title_fullStr | Dose-Finding Based on Bivariate Efficacy-Toxicity Outcome Using Archimedean Copula |
title_full_unstemmed | Dose-Finding Based on Bivariate Efficacy-Toxicity Outcome Using Archimedean Copula |
title_short | Dose-Finding Based on Bivariate Efficacy-Toxicity Outcome Using Archimedean Copula |
title_sort | dose-finding based on bivariate efficacy-toxicity outcome using archimedean copula |
topic | Research Article |
url | 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 |
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