世界反兴奋剂机构对反兴奋剂检测结果进行实验室间评估的新统计框架

IF 1 4区 工程技术 Q4 CHEMISTRY, ANALYTICAL
Juris Meija, Antonio Possolo, Bruno Carius Garrido, Sanjana Kisoona, Osquel Barroso
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引用次数: 0

摘要

作为世界反兴奋剂计划的一部分,世界反兴奋剂机构(WADA)国际实验室标准(ISL)要求在世界反兴奋剂机构外部质量评估计划(EQAS)中取得令人满意的实验室表现,以获得和保持世界反兴奋剂机构的认可。根据这项任务,世界反兴奋剂机构定期向反兴奋剂实验室分发尿液和血液检测样本,以持续监测其熟练程度。多年来,WADA按照ISO 13528标准,采用经典的、通用的统计方法来评估定量的EQAS结果。在这里,我们阐述了现代统计方法的基本原理,该方法识别并解决了在此类测试中通常获得的测量结果的特定特征,并提出了一种涉及贝叶斯测量模型和统计数据分析的方法,该方法专门针对反兴奋剂测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New statistical framework for interlaboratory evaluation of anti-doping testing results by WADA

The World Anti-doping Agency (WADA) International Standard for Laboratories (ISL), developed as part of the World Anti-Doping Program, requires satisfactory laboratory performance in the WADA External Quality Assessment Scheme (EQAS) in order to obtain and maintain WADA accreditation. Under this mandate, WADA regularly distributes urine and blood test samples to anti-doping laboratories to continuously monitor their proficiency. Over the years, WADA has employed classical, generic statistical methods, in accordance to ISO 13528, to evaluate quantitative EQAS results. Here, we set out the rationale for a modern statistical approach that recognizes and addresses the particular features of the measurement results typically obtained in such tests and present an approach involving Bayesian measurement models and statistical data analysis that is tailored specifically to anti-doping testing.

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来源期刊
Accreditation and Quality Assurance
Accreditation and Quality Assurance 工程技术-分析化学
CiteScore
1.80
自引率
22.20%
发文量
39
审稿时长
6-12 weeks
期刊介绍: Accreditation and Quality Assurance has established itself as the leading information and discussion forum for all aspects relevant to quality, transparency and reliability of measurement results in chemical and biological sciences. The journal serves the information needs of researchers, practitioners and decision makers dealing with quality assurance and quality management, including the development and application of metrological principles and concepts such as traceability or measurement uncertainty in the following fields: environment, nutrition, consumer protection, geology, metallurgy, pharmacy, forensics, clinical chemistry and laboratory medicine, and microbiology.
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