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用于有活性对照的剂量探索研究的基于样条的方法。

Spline-based procedures for dose-finding studies with active control.

作者信息

Helms Hans-Joachim, Benda Norbert, Zinserling Jörg, Kneib Thomas, Friede Tim

机构信息

Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.

出版信息

Stat Med. 2015 Jan 30;34(2):232-48. doi: 10.1002/sim.6320. Epub 2014 Oct 16.

Abstract

In a dose-finding study with an active control, several doses of a new drug are compared with an established drug (the so-called active control). One goal of such studies is to characterize the dose-response relationship and to find the smallest target dose concentration d(*), which leads to the same efficacy as the active control. For this purpose, the intersection point of the mean dose-response function with the expected efficacy of the active control has to be estimated. The focus of this paper is a cubic spline-based method for deriving an estimator of the target dose without assuming a specific dose-response function. Furthermore, the construction of a spline-based bootstrap CI is described. Estimator and CI are compared with other flexible and parametric methods such as linear spline interpolation as well as maximum likelihood regression in simulation studies motivated by a real clinical trial. Also, design considerations for the cubic spline approach with focus on bias minimization are presented. Although the spline-based point estimator can be biased, designs can be chosen to minimize and reasonably limit the maximum absolute bias. Furthermore, the coverage probability of the cubic spline approach is satisfactory, especially for bias minimal designs.

摘要

在一项采用活性对照的剂量探索研究中,将几种剂量的新药与一种已上市药物(即所谓的活性对照)进行比较。此类研究的一个目标是描述剂量 - 反应关系,并找到最小的目标剂量浓度d(*),该浓度能产生与活性对照相同的疗效。为此,必须估计平均剂量 - 反应函数与活性对照预期疗效的交点。本文的重点是一种基于三次样条的方法,用于在不假设特定剂量 - 反应函数的情况下推导目标剂量的估计值。此外,还描述了基于样条的自助置信区间(CI)的构建。在由一项实际临床试验推动的模拟研究中,将估计值和置信区间与其他灵活和参数化方法(如线性样条插值以及最大似然回归)进行比较。此外,还提出了以最小化偏差为重点的三次样条方法的设计考量。尽管基于样条的点估计值可能存在偏差,但可以选择设计以最小化并合理限制最大绝对偏差。此外,三次样条方法的覆盖概率令人满意,尤其是对于偏差最小化设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef64/4288315/846dafba75db/sim0034-0232-f1.jpg

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