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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >poped, a software for optimal experiment design in population kinetics.
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poped, a software for optimal experiment design in population kinetics.

机译：poppop，用于种群动力学最佳实验设计的软件。

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摘要

Population kinetic analysis is the methodology used to quantify inter-subject variability in kinetic studies. It entails the collection of (possibly sparse) data from dynamic experiments in a group of subjects and their quantitative interpretation by means of a mathematical model. This methodology is widely used in the pharmaceutical industry (where it is termed "pharmacokinetic population analysis") and recently it is becoming increasingly used in other areas of biomedical research. Unlike traditional kinetic studies, where the number of subjects can be quite small, population kinetic studies require large numbers of subjects. It is, therefore, of great interest to design these studies in the most efficient manner possible, to maximize the information content provided by the data. In this paper we propose an algorithm and a computer program, poped, for the optimal design of a population kinetic experiment. In particular, the number of samples for each subject and the design of the individual sampling strategies, i.e. the number and location of the time points at which the output variable is sampled, will be considered. Among the various criteria proposed in the literature, D and ED optimality are the ones implemented in our software program, since they are the most widely used. A brief description of the techniques employed to perform design optimization is given, together with some details on their actual implementation. Some examples are then presented to show the program usage and the results provided.
机译：群体动力学分析是用于量化动力学研究中受试者间变异性的方法。它需要从一组对象的动态实验中收集（可能稀疏）数据，并通过数学模型对其进行定量解释。该方法被广泛用于制药行业（在此被称为“药代动力学种群分析”），最近在生物医学研究的其他领域也越来越多地使用它。与传统的动力学研究不同，在传统的动力学研究中，受试者的数量可能很少，而群体动力学研究则需要大量的受试者。因此，非常有可能以最有效的方式设计这些研究，以使数据提供的信息内容最大化。在本文中，我们提出了用于种群动力学实验的最佳设计的算法和计算机程序。特别地，将考虑每个主题的样本数量和各个采样策略的设计，即，对输出变量进行采样的时间点的数量和位置。在文献中提出的各种标准中，D和ED最优性是在我们的软件程序中实现的，因为它们使用最广泛。给出了用于执行设计优化的技术的简要说明，以及有关其实际实现的一些详细信息。然后提供一些示例以显示程序使用情况和提供的结果。

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