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The correlations with percent changes in DLCO values were tested using Spearman's or Pearson's correlation test, depending on the distribution.
Different cost and γ values were tested using a training set size of 5000 and a test set size of 50,000.
Various ratios of acetonitrile and phosphate buffer solutions and different mobile phase pH values were tested using a C18 (150 × 4.5 mm, 3.5 μm) column, higher acetonitrile ratio resulted in shorter retention times of drugs Using this mobile phase ratio best results were obtained in terms of peak symmetry, selectivity and analysis time for drugs and the results are shown in Fig. 2.
The effects of season (June and October), site (MI and GI) and year (2002, 2003, and 2004) on nitrogen SIR values were tested using a three-way ANOVA.
Differences between AUC values were tested using the method outlines by Hanley and McNeil [ 32].
Differences in the median values were tested using the Mann–Whitney or Kruskal-Wallis test.
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Difference between mean continuous values was tested using Student's t-test (0.05) for parametric data.
The appropriateness of the model equation for predicting the optimum response values was tested using the above selected optimal conditions.
The suitability of the model equation for predicting the optimum response values was tested using the selected optimal conditions.
The normality of datasets of YC3.60 ratio values was tested using Kolmogorov-Smirnov method.
The significance of VS values was tested using Rayleigh statistics (20).
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