Bias estimation for Sigma metric calculation

Ercan, Şerif

doi:10.11613/bm.2022.030401

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2023

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“…I would like to thank Coşkun and Ercan for their interest in my paper and their constructive contributions to the subject ( 1 , 2 ). I want to clarify the suggestions and criticisms made by Coşkun and Ercan regarding my paper.…”

Section: To the Editormentioning

confidence: 99%

Reply to letters to the editor entitled “Bias, the unfinished symphony” and “Bias estimation for Sigma metric calculation arithmetic mean versus quadratic mean”

Keleş¹

2023

Biochem. med. (Online)

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Section: To the Editormentioning

confidence: 99%

Reply to letters to the editor entitled “Bias, the unfinished symphony” and “Bias estimation for Sigma metric calculation arithmetic mean versus quadratic mean”

Keleş¹

2023

Biochem. med. (Online)

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Bias, the unfinished symphony

Coşkun

2022

Biochem. med. (Online)

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In laboratory medicine, mathematical equations are frequently used to calculate various parameters including bias, imprecision, measurement uncertainty, sigma metric (SM), creatinine clearance, LDL-cholesterol concentration, etc. Mathematical equations have strict limitations and cannot be used in all situations and are not open to manipulations. Recently, a paper “Bias estimation for Sigma metric calculation: Arithmetic mean versus quadratic mean” was published in Biochemia Medica. In the paper, the author criticized the approach of taking the arithmetic mean of the multiple biases to obtain a single bias and proposed a quadratic method to estimate the overall bias using external quality assurance services (EQAS) data for SM calculation. This approach does not fit the purpose and it should be noted that using the correct equation in calculations is as important as using the correct reagent in the measurement of the analytes, therefore before using an equation, its suitability should be checked and confirmed.

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Bias estimation for Sigma metric calculation

Cited by 2 publications

References 3 publications

Reply to letters to the editor entitled “Bias, the unfinished symphony” and “Bias estimation for Sigma metric calculation arithmetic mean versus quadratic mean”

Reply to letters to the editor entitled “Bias, the unfinished symphony” and “Bias estimation for Sigma metric calculation arithmetic mean versus quadratic mean”

Bias, the unfinished symphony

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