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提高灵敏度的连续生物标志物检测数据分析方法。

Methods for the analysis of continuous biomarker assay data with increased sensitivity.

作者信息

Lau Bryan, Gange Stephen J

机构信息

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA.

出版信息

Epidemiology. 2004 Nov;15(6):724-32. doi: 10.1097/01.ede.0000142154.86749.e4.

Abstract

Prospective studies must be able to adapt to improved technology and adopt new assays with increased limits of detection. Our objective is to describe methods for incorporating new technologies in which the lower limits of quantification of a biomarker are enhanced. One may conduct an analysis of data with new and old sensitivity levels using a variety of methods, including retesting a sample of stored specimens from which multiple imputation may be applied, and a parametric approach that accounts for the changing limit of detection. We compare these methods in terms of their statistical bias and efficiency and identify the conditions under which the various methods perform well and then demonstrate our methods by evaluating differences in HIV RNA levels obtained from 2 prospective cohort studies.

摘要

前瞻性研究必须能够适应技术改进并采用检测限提高的新检测方法。我们的目标是描述将新技术纳入其中的方法,在这些新技术中生物标志物的定量下限得到了提高。可以使用多种方法对具有新老灵敏度水平的数据进行分析,包括对存储样本进行重新检测,以便可以应用多重填补,以及一种考虑检测限变化的参数方法。我们根据这些方法的统计偏差和效率对它们进行比较,确定各种方法表现良好的条件,然后通过评估从两项前瞻性队列研究中获得的HIV RNA水平差异来展示我们的方法。

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