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The method was validated following an approach using accuracy profiles based on β-expectation tolerance intervals for the total error measurement, and assessing the measurements uncertainty.
Secondly, these methods were fully validated for a concentration range of 70 130% of the target active content using the accuracy profile approach based on β-expectation tolerance intervals.
This method was then validated for simultaneous quantification of curcumin and β-arteether contained in lipid-based formulations taking into account the β-expectation tolerance interval for the total error measurement.
In a series of meetings, members of this Commission have first tried to review the objectives of analytical methods and the objectives of validation methods and to recommend the use of two-sided β-expectation tolerance intervals for total error of validation samples (accuracy profile) in the acceptance/rejection of analytical method in validation phase.
Results were analysed by β-expectation tolerance intervals (BETI).
The statistical evaluation of analytical accuracy employed β-expectation tolerance intervals (see below).
These studies employed advanced statistical techniques for data interpretation including β-expectation tolerance intervals (BETI) and β-content γ-confidence tolerance intervals.
To address the issue of analytical accuracy statistical approaches to the interpretation of data including β-expectation tolerance intervals (BETI) were employed [ 22].
CTC: Circulating tumour cells; QC: Quality controls; BETI: β-expectation tolerance intervals; BCTI: β-content γ-confidence tolerance intervals; ISR: Incurred sample reproducibility; PBS: Phosphate buffered saline; CV: Coefficient of variation.
The accuracy profile takes account of total error (bias and intermediate precision), a pre-set acceptance limit that the user defines and produces a plot based on the ' β-expectation tolerance interval' that displays the confidence interval (e.g. 95%) for future measurements.
In accordance with intuitive expectations, tolerance increases with t 0, the number of presentations involved in negative selection.
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