Physics Maths Engineering
Bias, the unfinished symphony
Peer Reviewed
Abstract
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.
Key Questions
What is the main critique presented by Coşkun regarding mathematical equations in laboratory medicine?
Coşkun argues that mathematical equations, while valuable, have strict limitations and cannot be applied universally in laboratory analyses. He emphasizes the importance of selecting appropriate equations and methods to ensure accurate and reliable results.
What specific approach does Coşkun critique in the study he addresses?
Coşkun critiques the use of the quadratic mean to estimate overall bias for sigma metric calculations, suggesting that this approach may not be suitable for all situations.
What does Coşkun emphasize about the selection of equations and methods in laboratory analyses?
He underscores the importance of selecting appropriate equations and methods in laboratory analyses to ensure accurate and reliable results, highlighting that using the correct equation is as crucial as using the correct reagent in measurements.
