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药量计学中的共变量建模:需要考虑的一般要点
Kinjal Sanghavi1, Jakob Ribbing2, James A Rogers3
1Clinical Pharmacology, Genmab US, Inc., Princeton, New Jersey, USA.
本综述概述了在药量计学中共变量建模的最佳实践. 它为规划,执行和解释这些分析提供了指导,以改善药物开发和临床决策.
科学领域:
- 制药指标 (Pharmacometrics) 是一个指标.
- 药物开发 药物开发
- 临床药理学 临床药理学
背景情况:
- 共同变量建模对于了解不同人群中药物行为至关重要.
- 现有的方法是复杂的,不断发展,需要更新的指导.
- 药量测量分析为剂量选择,个性化和研究设计提供了信息.
研究的目的:
- 介绍在药量计学中共变量建模的最佳实践.
- 在学术,工业和监管环境中指导决策.
- 提供对共变量分析当前状态的概述.
主要方法:
- 国际药量计学会 (ISoP) 标准和最佳实践委员会综合了当前的知识.
- 收集了关于规划,执行,报告和解释的观点.
- 重点是建立用于共变量分析的标准化方法.
主要成果:
- 这篇文章提供了对共变量建模最佳实践的全面概述.
- 它解决了药量计技术日益复杂的问题.
- 提供了指导,以使共变量模型得到一致和可靠的应用.
结论:
- 坚持这些最佳实践将增强共变量建模的实用性.
- 改进的共变量分析支持知情的药量计决策.
- 标准化方法促进了更好的药物开发和患者护理.
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