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Data from PET and microdialysis were subject to regression analysis using Matlab (The MathWorks).
Each set was subject to regression analysis to test whether the slope of the regression line was significantly different from zero.
Alternatively, those with greater use may be more subject to regression to the mean (Finney 2008).
Dose response data were subject to regression analysis and analysis of variance (ANOVA).
Indicators are also subject to regression to the mean, a phenomenon that reflects the random distribution of measurement error.
First, because we only enrolled participants who had A1C of ≥8.0%, all three arms were subject to regression to the mean.
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The data are subjected to regression analysis as follows: 1.
All the parameters were subjected to regression analysis using the program SISVAR.
The five concentrations of each compound were subjected to regression analysis to calculate calibration equation and correlation coefficients.
All the experimental data were arranged in Microsoft Excel spreadsheet and subjected to regression in Solver® program.
The relationships between the patterns of the dynamics and the explanatory variables were subjected to regression tree analyses and t tests.
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