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Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses

The design of sequential experiments and, in particular, randomised controlled trials involves a trade-off between operational characteristics such as statistical power, estimation bias and patient benefit. The family of randomisation procedures referred to as Constrained Randomised Dynamic Programm...

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Autores principales: Williamson, S. Faye, Jacko, Peter, Jaki, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612844/
https://www.ncbi.nlm.nih.gov/pubmed/35698662
http://dx.doi.org/10.1016/j.csda.2021.107407
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author Williamson, S. Faye
Jacko, Peter
Jaki, Thomas
author_facet Williamson, S. Faye
Jacko, Peter
Jaki, Thomas
author_sort Williamson, S. Faye
collection PubMed
description The design of sequential experiments and, in particular, randomised controlled trials involves a trade-off between operational characteristics such as statistical power, estimation bias and patient benefit. The family of randomisation procedures referred to as Constrained Randomised Dynamic Programming (CRDP), which is set in the Bayesian decision-theoretic framework, can be used to balance these competing objectives. A generalisation and novel interpretation of CRDP is proposed to highlight its inherent flexibility to adapt to a variety of practicalities and align with individual trial objectives. CRDP, as with most response-adaptive randomisation procedures, hinges on the limiting assumption of patient responses being available before allocation of the next patient. This forms one of the greatest barriers to their implementation in practice which, despite being an important research question, has not received a thorough treatment. Therefore, motivated by the existing gap between the theory of response-adaptive randomisation (which is abundant with proposed methods in the immediate response setting) and clinical practice (in which responses are typically delayed), the performance of CRDP in the presence of fixed and random delays is evaluated. Simulation results show that CRDP continues to offer patient benefit gains over alternative procedures and is relatively robust to delayed responses. To compensate for a fixed delay, a method which adjusts the time horizon used in the optimisation objective is proposed and its performance illustrated.
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spelling pubmed-76128442022-11-01 Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses Williamson, S. Faye Jacko, Peter Jaki, Thomas Comput Stat Data Anal Article The design of sequential experiments and, in particular, randomised controlled trials involves a trade-off between operational characteristics such as statistical power, estimation bias and patient benefit. The family of randomisation procedures referred to as Constrained Randomised Dynamic Programming (CRDP), which is set in the Bayesian decision-theoretic framework, can be used to balance these competing objectives. A generalisation and novel interpretation of CRDP is proposed to highlight its inherent flexibility to adapt to a variety of practicalities and align with individual trial objectives. CRDP, as with most response-adaptive randomisation procedures, hinges on the limiting assumption of patient responses being available before allocation of the next patient. This forms one of the greatest barriers to their implementation in practice which, despite being an important research question, has not received a thorough treatment. Therefore, motivated by the existing gap between the theory of response-adaptive randomisation (which is abundant with proposed methods in the immediate response setting) and clinical practice (in which responses are typically delayed), the performance of CRDP in the presence of fixed and random delays is evaluated. Simulation results show that CRDP continues to offer patient benefit gains over alternative procedures and is relatively robust to delayed responses. To compensate for a fixed delay, a method which adjusts the time horizon used in the optimisation objective is proposed and its performance illustrated. 2022-10 /pmc/articles/PMC7612844/ /pubmed/35698662 http://dx.doi.org/10.1016/j.csda.2021.107407 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Williamson, S. Faye
Jacko, Peter
Jaki, Thomas
Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses
title Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses
title_full Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses
title_fullStr Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses
title_full_unstemmed Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses
title_short Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses
title_sort generalisations of a bayesian decision-theoretic randomisation procedure and the impact of delayed responses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612844/
https://www.ncbi.nlm.nih.gov/pubmed/35698662
http://dx.doi.org/10.1016/j.csda.2021.107407
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