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The linear regression data and the method validation results are summarized in Table 3.
Method validation results showed satisfactory results for linearity, accuracy and repeatability.
Method validation results for linearity (R2), for all waters tested (HPLC water, drinking water, river water and wastewater).
In addition, method validation results of specificity, linearity, accuracy, precision, lower limit of quantitation (LLO Q, and carry-over demonstrated that this on-line sample pretreatment HPLC/MS system was robust and valid as a practical assay of drugs and metabolites in the biological samples.
The method validation results indicated a high selectivity and good precision characteristics that were studied at four concentration levels, with RSD less than 5.0% for retinoic acid (less than 7.5% for the LOQ concentration level), in intra and inter-assay precision studies.
Table 3 summarizes the method validation results for DEP.
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The method validation result is summarized in Table 5.
Because GBLUP and BayesB were suggested as standard approaches for method validation, our results strongly indicate that BLUP|GA is a promising approach that has the potential to flexibly account for effects of genetic architecture when they are relevant.
Our NEP/NECB scaling methods and validation results for applications in Oregon, Washington, and California have been reported in Turner et al. [18, 21, 22, 64] and Law et al. [77, 78].
In the Supplementary Materials (available at the CLAMMS Github repository), we present our methods and validation results in greater detail.
We have presented spirometry methods and validation results for the present panel subjects in detail in our previous report (Thompson et al. 2006).
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