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使用潜在变量间接响应模型对临床终点进行暴露-反应建模。

Exposure-response modeling of clinical end points using latent variable indirect response models.

机构信息

Janssen Research & Development, LLC, Spring House, Pennsylvania, USA.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2014 Jun 4;3(6):e117. doi: 10.1038/psp.2014.15.

DOI:10.1038/psp.2014.15
PMID:24897307
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4076802/
Abstract

Exposure-response modeling facilitates effective dosing regimen selection in clinical drug development, where the end points are often disease scores and not physiological variables. Appropriate models need to be consistent with pharmacology and identifiable from the time courses of available data. This article describes a general framework of applying mechanism-based models to various types of clinical end points. Placebo and drug model parameterization, interpretation, and assessment are discussed with a focus on the indirect response models.

摘要

暴露-反应建模有助于在临床药物开发中选择有效的给药方案,其中终点通常是疾病评分,而不是生理变量。适当的模型需要与药理学一致,并能够从现有数据的时间过程中识别出来。本文描述了一种将基于机制的模型应用于各种类型的临床终点的通用框架。讨论了安慰剂和药物模型的参数化、解释和评估,重点是间接反应模型。

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本文引用的文献

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CPT Pharmacometrics Syst Pharmacol. 2012 Sep 26;1(9):e5. doi: 10.1038/psp.2012.6.
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The trend odds model for ordinal data.有序数据的趋势优势比模型。
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Population pharmacokinetic/pharmacodynamic modelling of the anti-TNF-α polyclonal fragment antibody AZD9773 in patients with severe sepsis.抗 TNF-α 多克隆片段抗体 AZD9773 在严重脓毒症患者中的群体药代动力学/药效学建模。
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Extending the latent variable model for extra correlated longitudinal dichotomous responses.扩展用于额外相关纵向二分类反应的潜在变量模型。
J Pharmacokinet Pharmacodyn. 2011 Dec;38(6):833-59. doi: 10.1007/s10928-011-9222-4. Epub 2011 Oct 22.
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