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The precision of an analytical procedure expresses the closeness of agreement (degree of scatter) between a series of measurements obtained from multiple sampling of the same homogeneous sample under the prescribed conditions.
Accuracy and precision are two measures of observational error. Accuracy is how close a given set of measurements (observations or readings) are to their true value. Precision is how close the measurements are to each other.
Reproducibility (occasionally called between-lab reproducibility) expresses the precision between the measurement results obtained at different laboratories. Sometimes a mistake is made and a term reproducibility is used for a within-laboratory studies at the level of intermediate precision.
The precision of a method should be tested at at-least two levels; each run in duplicate, with two runs per day over 20 days. CLSI document EP15-A2 describes the protocols that should be undertaken by the user to verify precision claims by a manufacturer.
21 Ιουν 2018 · Precision A test method is said to be precise when repeated determinations (analyses) on the same sample give similar results. When a test method is precise, the amount of random variation is small. The test method can be trusted because results are reliably reproduced time after time.
In this review, we illustrated how to verify the performance characteristics of a new method according to the recent guidelines. It includes an assessment of precision, trueness, analytical sensitivity, detection limits, analytical specificity, interference, measuring range, linearity, and measurement uncertainty.
Two of the most important parameters of bioassay performance are relative accuracy (bias) and precision. Although general strategies and formulas are provided in USP<1033>, a comprehensive understanding of the definitions of bias and precision remain elusive.
