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Assembling Pharmacometric Datasets in R - The puzzle Package

机译:在R - 拼图包装中组装药学数据集

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Pharmacometric analyses are integral components of the drug development process. The core of each pharmacometric analysis is a dataset. The time required to construct a pharmacometrics dataset can sometimes be higher than the effort required for the modeling per se. To simplify the process, the puzzle R package has been developed aimed at simplifying and facilitating the time consuming and error prone task of assembling pharmacometrics datasets. Puzzle consist of a series of functions written in R. These functions create, from tabulated files, datasets that are compatible with the formatting requirements of the gold standard non-linear mixed effects modeling software. With only one function, puzzle(), complex pharmacometrics databases can easily be assembled. Users are able to select from different absorption processes such as zeroand first-order, or a com bination of both. Furthermore, datasets containing data from one or more analytes, and/or one or more responses, and/or time dependent and/or independent covariates, and/or urine data can be simultaneously assembled. The puzzle package is a powerful and efficient tool that helps modelers, programmers and pharmacometricians through the challenging process of assembling pharmacometrics datasets.
机译:药物分析是药物开发过程的组分。每个药物分析的核心是数据集。构建药物测定法数据集所需的时间有时可以高于建模本身所需的努力。为了简化过程,拼图R包装已经开发,旨在简化和促进组装药物测定数据集的耗时和误差任务。拼图包括在R中编写的一系列函数。这些函数从列表文件中创建,数据集与金标准非线性混合效果建模软件的格式化要求兼容。只有一个函数,拼图(),可以轻松组装复杂的药物测定数据库。用户能够从不同的吸收过程中进行选择,例如零的一阶,或两者的COM流量。此外,包含来自一个或多个分析物的数据的数据集,和/或一个或多个响应,和/或时间相关的和/或独立协变量,和/或尿数据可以同时组装。拼图包是一种功能强大而有效的工具,可以通过组装药物测定物数据集的具有挑战性的过程来帮助建模者,程序员和药剂师。

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