A simple method for evaluating data from an interlaboratory study.

W Horwitz; P Britton; S J Chirtel

PubMed · 9850588

A simple method for evaluating data from an interlaboratory study.

Abstract

Large-scale laboratory- and method-performance studies involving more than about 30 laboratories may be evaluated by calculating the HORRAT ratio for each test sample (HORRAT = [experimentally found among-laboratories relative standard deviation] divided by [relative standard deviation calculated from the Horwitz formula]). The chemical analytical method is deemed acceptable per se if HORRAT approximately 1.0 (+/- 0.5). If HORRAT is > or approximately 2.0, the most extreme values are removed successively until an "acceptable" ratio is obtained. The laboratories responsible for the extreme values that are removed should examine their technique and procedures. If > or approximately 15% of the values have to be removed, the instructions and the methods should be examined. This suggested computation procedure is simple and does not require statistical outlier tables. Proposed action limits may be adjusted according to experience. Data supporting U.S. Environmental Protection Agency method 245.1 for mercury in waters (manual cold-vapor atomic absorption spectrometry), supplemented by subsequent laboratory-performance data, were reexamined in this manner. Method-performance parameters (means and among-laboratories relative standard deviations) were comparable with results from the original statistical analysis that used a robust biweight procedure for outlier removal. The precision of the current controlled performance is better by a factor of 4 than that of estimates resulting from the original method-performance study, at the expense of rejecting more experimental values as outliers.

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Chemistry Techniques, Analytical Laboratories Mercury Quality Control Statistics as Topic United States United States Environmental Protection Agency Water Comparative Study Journal Article

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W Horwitz, P Britton, S J Chirtel. A simple method for evaluating data from an interlaboratory study.. https://pubmed.ncbi.nlm.nih.gov/9850588/

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