设计体内剂量-反应比较研究的策略

IF 1.3 4区 医学 Q4 PHARMACOLOGY & PHARMACY Pharmaceutical Statistics Pub Date : 2024-07-17 DOI:10.1002/pst.2421
Steven Novick, Tianhui Zhang
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引用次数: 0

摘要

在临床前药物发现中,在化合物的先导优化步骤中,体内实验可以区分几种化合物在整个生物体的生物系统中的疗效和效力。在先导优化研究中,最好采用剂量-反应设计,这样就可以通过与数据拟合的非线性曲线对化合物进行比较。与简单的研究设计相比,剂量反应设计需要更多的考虑,需要剂量数、剂量值和每个剂量的样本量等参数。本教程说明了如何计算统计功率、选择剂量以及确定每个剂量的样本量,以便在未来的体内研究中比较两个或多个剂量-反应曲线。
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Strategy for Designing In Vivo Dose-Response Comparison Studies.

In preclinical drug discovery, at the step of lead optimization of a compound, in vivo experimentation can differentiate several compounds in terms of efficacy and potency in a biological system of whole living organisms. For the lead optimization study, it may be desirable to implement a dose-response design so that compound comparisons can be made from nonlinear curves fitted to the data. A dose-response design requires more thought relative to a simpler study design, needing parameters for the number of doses, the dose values, and the sample size per dose. This tutorial illustrates how to calculate statistical power, choose doses, and determine sample size per dose for a comparison of two or more dose-response curves for a future in vivo study.

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来源期刊
Pharmaceutical Statistics
Pharmaceutical Statistics 医学-统计学与概率论
CiteScore
2.70
自引率
6.70%
发文量
90
审稿时长
6-12 weeks
期刊介绍: Pharmaceutical Statistics is an industry-led initiative, tackling real problems in statistical applications. The Journal publishes papers that share experiences in the practical application of statistics within the pharmaceutical industry. It covers all aspects of pharmaceutical statistical applications from discovery, through pre-clinical development, clinical development, post-marketing surveillance, consumer health, production, epidemiology, and health economics. The Journal is both international and multidisciplinary. It includes high quality practical papers, case studies and review papers.
期刊最新文献
Bayesian Solutions for Assessing Differential Effects in Biomarker Positive and Negative Subgroups. Pre-Posterior Distributions in Drug Development and Their Properties. Beyond the Fragility Index. A Model-Based Trial Design With a Randomization Scheme Considering Pharmacokinetics Exposure for Dose Optimization in Oncology. Potential Bias Models With Bayesian Shrinkage Priors for Dynamic Borrowing of Multiple Historical Control Data.
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