Astellas Pharma Global Development, 1 Astellas Way, Northbrook, IL 60062, USA.
AAPS J. 2012 Dec;14(4):749-58. doi: 10.1208/s12248-012-9387-9. Epub 2012 Jul 24.
Quality population modeling and simulation analyses and reports are something every modeler desires. However, little attention in the literature has been paid to what constitutes quality regarding population analyses. Very rarely do published manuscripts contain any statement about quality assurance of the modeling results contained therein. The purpose of this manuscript is to present guidelines for the quality assurance of population analyses, particularly with regards to the use of NONMEM from an industrial perspective. Quality guidelines are developed for the NONMEM installation itself, NONMEM data sets, control streams, output listings, output data files and resultant post-processing, reporting of results, and the review processes. These guidelines were developed to be thorough yet practical, though are not meant to be completely comprehensive. It is our desire to ensure that what is reported accurately reflects the collected data, the modeling process, and model outputs for a modeling project.
质量人群建模和模拟分析及报告是每位建模师都渴望的。然而,文献中几乎没有关注什么是人群分析的质量。很少有发表的手稿包含任何关于建模结果质量保证的声明。本文的目的是提出人群分析质量保证的指南,特别是从工业角度使用 NONMEM。质量指南是针对 NONMEM 安装本身、NONMEM 数据集、控制流、输出列表、输出数据文件以及随后的后处理、结果报告和审查过程开发的。这些指南旨在全面而又实用,虽然并不意味着完全全面。我们希望确保报告准确反映建模项目的收集数据、建模过程和模型输出。