采用者包:R临床试验的适应性优化设计

IF 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Statistical Software Pub Date : 2021-06-28 DOI:10.18637/jss.v098.i09
K. Kunzmann, Maximilian Pilz, Carolin Herrmann, G. Rauch, M. Kieser
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引用次数: 5

摘要

尽管采用非盲法中期分析的自适应两阶段设计在临床试验设计中越来越流行,但缺乏统计软件使其应用更直接。对于(近似)正态分布结果的两阶段单组或双组试验的常见情况,一揽子采用者填补了这一空白。与以前的方法相比,adoptr预先优化了整个设计,从而实现了最大的效率。为了方便不同目标函数的实验,adoptr支持一种灵活的方式来指定(复合)目标分数和(条件)约束。特别强调的是提供措施来帮助实践者进行包的验证过程。
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The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R
Even though adaptive two-stage designs with unblinded interim analyses are becoming increasingly popular in clinical trial designs, there is a lack of statistical software to make their application more straightforward. The package adoptr fills this gap for the common case of two-stage one- or two-arm trials with (approximately) normally distributed outcomes. In contrast to previous approaches, adoptr optimizes the entire design upfront which allows maximal efficiency. To facilitate experimentation with different objective functions, adoptr supports a flexible way of specifying both (composite) objective scores and (conditional) constraints by the user. Special emphasis was put on providing measures to aid practitioners with the validation process of the package.
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来源期刊
Journal of Statistical Software
Journal of Statistical Software 工程技术-计算机:跨学科应用
CiteScore
10.70
自引率
1.70%
发文量
40
审稿时长
6-12 weeks
期刊介绍: The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.
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