2007
DOI: 10.1016/j.chroma.2007.03.102
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Using tolerance intervals in pre-study validation of analytical methods to predict in-study results

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Cited by 73 publications
(41 citation statements)
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“…Thus, the selection of the calibration curve for the quantification of iohexol in the two matrices should be the fit for purpose response function [25]. To determine the most adequate one for our goal, different calibration models have been evaluated.…”
Section: Response Functionmentioning
confidence: 99%
“…Thus, the selection of the calibration curve for the quantification of iohexol in the two matrices should be the fit for purpose response function [25]. To determine the most adequate one for our goal, different calibration models have been evaluated.…”
Section: Response Functionmentioning
confidence: 99%
“…In order to evaluate the reliability of the results, an accuracy profile based on tolerance intervals was used (Rozet et al, 2007). Tolerance intervals or b-expectation tolerance intervals defined an interval space where each future result will fall with a specific probability (b).…”
Section: Validation Methodsmentioning
confidence: 99%
“…This validation procedure, well described in the literature [28,29,[41][42][43][44][45][46][47][48][49], can be summarized as follows:…”
Section: Statistical Processing: Accuracy Profilementioning
confidence: 99%
“…With the results calculated from this study, a decrease in risk led to an increase in the LLOQ and, consequently, to a decrease in the validated range of concentrations. Furthermore, papers dealing with the accuracy profile procedure have obtained a probability of 95% [41][42][43][44][45][46][47][48][49]. Fig.…”
Section: Accuracy Profilementioning
confidence: 99%