自上而下方法评定测量不确定度的简介

doi:10.3969/j.issn.1673-8640.2014.01.020

检验医学 ›› 2014, Vol. 29 ›› Issue (1): 81-85.DOI: 10.3969/j.issn.1673-8640.2014.01.020

自上而下方法评定测量不确定度的简介

陈龙梅¹, 王惠民¹, 居漪²

1. 南通大学附属医院, 江苏南通 226001;
2.上海市临床检验中心, 上海 200126

收稿日期:2013-08-14 出版日期:2014-01-20 发布日期:2014-01-20
通讯作者: 王惠民, 联系电话:0513-85052102。
作者简介:陈龙梅, 女, 1988年生, 硕士, 主要从事酶学及生物化学检验研究。
基金资助:
南通市课题项目(HS2012009)

The introduction of evaluating measurement uncertainty with top-down approach

CHEN Longmei¹, WANG Huimin¹, JU Yi².

1. Affiliated Hospital of Nantong University, Jiangsu Nantong 226001, China; 2.Shanghai Center for Clinical Laboratory, Shanghai 200126, China

Received:2013-08-14 Online:2014-01-20 Published:2014-01-20

摘要/Abstract

摘要： 测量不确定度是保证测量结果完整性的重要参数, 自上而下方法是从不精密度和偏移两个方面评定医学实验室不确定度的首选方法。自1995年该方法提出后, 不确定度的评定对象和计算方法在不断地发展和完善, 目前不精密度评定对象包括重复测量数据和室内质量控制数据, 偏移的评定对象可包含有证参考物质、参考测量程序、回收实验和室间质量评价数据, 我们将对不同评定对象的计算方法进行详述。

关键词: 测量不确定度, 偏移, 不精密度, 室内质量控制, 室间质量评价

Abstract: The measurement of uncertainty is an important parameter which ensures the integrity of measurement results. Top-down approach is a prior choice to evaluate uncertainty in medical laboratories with imprecision and bias. Since 1995, when top-down approach was firstly introduced, the evaluation objects and calculating Methods have been developed and improved continuously. At present, imprecision can be determined by replicate measurements and internal quality control data, while bias can be assessed by certified reference materials, reference methods, recovery tests and external quality assessment data. The Methods of evaluating measurement uncertainty will be focused according to different objects in this review.

Key words: Uncertainty measurement, Bias, Imprecision, Internal quality control, External quality assessment

中图分类号:

R446.1

陈龙梅, 王惠民, 居漪. 自上而下方法评定测量不确定度的简介[J]. 检验医学, 2014, 29(1): 81-85.

CHEN Longmei, WANG Huimin, JU Yi.. The introduction of evaluating measurement uncertainty with top-down approach[J]. , 2014, 29(1): 81-85.

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自上而下方法评定测量不确定度的简介

The introduction of evaluating measurement uncertainty with top-down approach

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