Comparison of different approaches to evaluate External Quality Assessment Data.

Last updated on 22-8-2019 by Anonymous (not verified)

Peer reviewed scientific article



In EQA programs, Z-scores are used to evaluate laboratory performance. They should indicate poorly performing laboratories, regardless of the presence of outliers. For this, two different types of approaches exist. The first type are “outlier-based” approaches, which first exclude outlying values, calculate the average and standard deviation on the remaining data and obtain Z-scores for all values (e.g., Grubbs and Dixon). The second type includes the “robust” approaches (e.g., Tukey and Qn or the algorithm recommended by ISO). The different approaches were assessed by randomly generated sa…

QR code

QR code for this page URL