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Generalized estimating equations using a sandwich estimator of the variance and exchangeable correlation to account for familial correlation were computed for the test of genotypic association, and dominant, additive and recessive models.
Four statistical measures or parameters of the GLCM (i.e., contrast, homogeneity, energy, and correlation) were computed on 255 gray levels.
Pearson coefficients of correlation were computed for comparing continuous variables (GIC50 and gene expression data).
For each pair of features, the mean and standard deviation of the correlation were computed and plotted.
MSE and Pearson's correlation were computed as before, but in this case by concatenating results from the three cross-validation sets.
The maximum and the minimum values of the Spearman rank correlation were computed to be 0.91 and 0.77, respectively, revealing an extremely tight correlation between all TA samples (TA1 13).
Similar(52)
The correlation is computed using the Pearson's correlation coeffiecient.
The correlation is computed using the Person's correlation coefficient.
Pearson correlation was conducted for normally distributed variables and Kendall rank correlation was computed for the variables not normally distributed.
Mathematically, the correlation is computed as follows.
1All variables were square root transformed before correlation was computed.
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