Reevaluation of the Variable Component of the Systematic Error Calls for Paradigm Change in Clinical Laboratory Quality Control

Author:

Vandra Atilla Barna

Abstract

AbstractThe existence of the variable component of the systematic error (VCSE) is known since 1963, but seems to be a kind of taboo: neither has definition in VIM, nor is present in equations, being considered transformed in time into random error. Present study using methods of mathematical statistics, computer simulations and examples from the day-to-day practice of the author makes an attempt to reevaluate its role and significance in the QC in clinical laboratory.“The bias” (which one?) it is a definitional uncertainty, because it is time-variable. Making clear distinction between bias measured in repeatability respective reproducibility within laboratory (RW) conditions as in case of standard deviations, and also separating constant and variable subcomponents of the systematic error, two sets of error parameters are obtained each set being consistent with the measurement conditions. The link between them is the time-variable VCSE function.The conditions of calculations and predictions based on them must be consistent with the conditions of their determination, to avoid the redundant use. Being consequent, several differences can be discovered between the constant and the variable component of the systematic error respective random phenomena, also between variable and random error components.The variable components of the systematic errors are cyclical, mostly predictable variations (shifts and drifts) in the daily mean. However, it is presented a direct method to determine the SD of the VCSE, its easiest calculation is possible from accurate values of srand sRW. There are presented methods to calculate srand sRWfrom long term data.As conclusion there is necessary a new paradigm of the QC in clinical laboratory based on the proposed error model.Motto“Everything Should Be Made as Simple as Possible, But Not Simpler” (A. Einstein).

Publisher

Cold Spring Harbor Laboratory

Reference17 articles.

1. Rouvim Kadis : Evaluation of measurement uncertainty in analytical chemistry: related concepts and some point of misinterpretation. Dissertationes chimicae univeritates Tartuensis, Sept. 2008. https://www.researchgate.net/publication/277054223_Evaluation_of_measurement_uncertainty_in_analytical_chemistry_related_concepts_and_some_points_of_misinterpretation

2. Elvar Theodorsson , Bertil Magnusson , Ivo Leito : Bias in Clinical Chemistry, Bioanalisys, vol 6, no. 21, published online 8 dec 2014, https://www.future-science.com/doi/10.4155/bio.14.249

3. Realistic Evaluation of the Precision and Accuracy of Instrument Calibration Systems;Journal of Research of the National Bureau of Standards-C, Engineering and Instrumentation,1963

4. Incertitudini… în lumea incertitudinii. Deplasarea. (Uncertainties… in the World of Uncertainty. The Bias);Revista Română de Laborator Medical,2014

5. Sylte, Sten Westgard and Elvar Theodorsson;“The use of error and uncertainty methods in the medical laboratory” - The concepts of bias and imprecision, Clinical Chemistry and Laboratory Medicine (CCLM),2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3