使用CohortPlat模拟联合治疗的自适应队列平台试验

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-09-29 DOI:10.1016/j.softx.2025.102381

Elias Laurin Meyer , Peter Mesenbrink , Cornelia Dunger-Baldauf , Ekkehard Glimm , Franz Koenig

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引用次数: 0

摘要

近年来，平台试验作为耗时的经典双臂随机对照试验的一种可能的补救方法，特别是在药物开发的早期阶段，受到了广泛的关注。本文说明了如何使用CohortPlat R包来模拟队列平台试验，其中每个队列由联合治疗和各自的单一治疗和标准护理组成。对于所有的模拟，我们假设一个二元主端点。该套件在平台试验轨迹、治疗效果场景和决策规则方面提供了广泛的灵活性。作为一个特殊的功能，这个包提供了一个指定的功能，可以有效地并行运行多个这样的模拟，并以简洁的方式保存结果。提供了许多代码使用的示例。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Simulating adaptive cohort platform trials for combination treatments using CohortPlat

Platform trials have gained a lot of attention in recent years as a possible remedy for time-consuming classical two-arm randomized controlled trials, especially in early phase drug development. This article illustrates how to use the CohortPlat R package to simulate a cohort platform trial, where each cohort consists of a combination treatment and the respective monotherapies and standard-of-care. For all simulations, we assume a binary primary endpoint. The package offers extensive flexibility with respect to both platform trial trajectories, as well as treatment effect scenarios and decision rules. As a special feature, the package provides a designated function for running multiple such simulations efficiently in parallel and saving the results in a concise manner. Many illustrations of code usage are provided.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.