Related Experiment Video
Updated: Apr 26, 2026

Author Spotlight: Advancing Pathogen Detection and Disease Assessment in Real-Time Using M-ROSE
Published on: March 1, 2024
[The advantages of dynamic evaluation of measurement quality in clinical diagnostic laboratory]
Abstract:
The national standard of laboratory quality control is based on a assumption about normal distribution of random error. The data of procedure of quality control get from analyzer Flexor XL during three months period were examined. The distributions of random error were non-Gauss ones in almost half of all examined tests by reason of both abnormal asymmetry and excess. To prevent possible clinical mistakes the actual level of quality is to be evaluated using dynamic values of bias, variation coefficient and o-metrics based on simple consecutive means. The most appropriate time of averaging consisted about 10 days and had no dependencies of type of test. The actual standard cab y easily improved taking into account the discovered advantages and simplicity of proposed approach.
Related Concept Videos
Automated Microbial Diagnostics
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
Therapeutic Drug Monitoring: Drug Analysis Methods
Errors occurring during blood pressure monitoring
Several factors...
Measurement of Bioavailability: Pharmacodynamic Methods
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...

