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基于模型的荟萃分析的多种方法：第二部分 - 建模汇总水平纵向反应。

Many Flavors of Model-Based Meta-Analysis: Part II - Modeling Summary Level Longitudinal Responses.

机构信息

Department of Pharmacometrics, Pfizer Ltd, Sandwich, Kent, UK.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2018 May;7(5):288-297. doi: 10.1002/psp4.12299. Epub 2018 Apr 20.

DOI:10.1002/psp4.12299
PMID:29569841
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5980518/
Abstract

Meta-analyses typically assess comparative treatment response for an end point at specific timepoints across studies. However, during drug development, it is often of interest to understand the response time-course of competitor compounds for a variety of purposes. Examples of such application include informing study design and characterizing the onset, maintenance, and offset of action. This tutorial acts as a "points for consideration" document, reviews relevant literature, and fits a longitudinal model to an example dataset.

摘要

荟萃分析通常评估特定时间点在研究之间的终点的比较治疗反应。然而，在药物开发过程中，了解竞争化合物的反应时间过程通常是很有意义的，目的多种多样。例如，此类应用包括为研究设计提供信息以及描述作用的起始、维持和消除。本教程充当“注意要点”文件，回顾相关文献，并将纵向模型拟合到示例数据集。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f8c/5980518/30a427688b50/PSP4-7-288-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f8c/5980518/35ecbe6ad77d/PSP4-7-288-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f8c/5980518/4082d6c09914/PSP4-7-288-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f8c/5980518/191e9a88586c/PSP4-7-288-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f8c/5980518/30a427688b50/PSP4-7-288-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f8c/5980518/35ecbe6ad77d/PSP4-7-288-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f8c/5980518/4082d6c09914/PSP4-7-288-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f8c/5980518/191e9a88586c/PSP4-7-288-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f8c/5980518/30a427688b50/PSP4-7-288-g004.jpg

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