Diagnostic data evaluation. Part IV. Evaluation of a check sample series to determine analyst performance
Related Experiment Video
Updated: Nov 8, 2026

Evaluation of a Point-of-Care Testing Analyzer for Measuring Peripheral Blood Leukocytes
Published on: March 22, 2022
1U.S. Department of Agriculture, Food Safety and Inspection Service, Washington, DC 20250.
Abstract:
Data from a check sample series were subjected to diagnostic data evaluation. The chemical analyses that were performed were moisture, protein, and fat in meat products. Four performance outliers were identified (1 protein, 1 moisture, and 2 fat values). With the performance outliers excluded from the statistical evaluation, the analyst standard deviation ranged from 0.088 to 0.218 for protein, 0.145 to 0.393 for moisture, and 0.271 to 0.378 for fat. No bias was present. All laboratories were able to meet the established standards. With the limited number of samples it was not possible to attribute any reasons for the outliers.
More Related Videos
09:17Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
Published on: September 13, 2022
04:57Comparative Analysis of Automatic Fecal Analyzer versus Direct Wet Smear Microscopy for Detecting Parasitic Infections in Stool Samples
Published on: April 25, 2025
Related Concept Videos
Review and Preview
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing Evaluation
Section...
Review and Preview
Percentiles are a type of fractile that partition data into...
Detection of Gross Error: The Q Test
Data Validation
Key parameters for method validation include: