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To compare our results with previous studies of self-other comparison in drinking, we computed the Z Fisher transformation correlation between self-reported daily number of drinks and friends' numbers of drinks.
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After the Fisher's transformation, the transformed correlation value of each subsequent stage was subtracted from the counterpart values in the preceding stage, and a differential correlation value (dC) was obtained as calculated by equation 2. Consequently, four dC values corresponding to the four stage transitions were assigned to each gene pair.
To do the calculations we applied a Fisher-transformation to the correlations, the Fisher-transformed correlation being z = 0.5ln[(1+ r)/ 1- r)] and z having a standard error SE z) = 1/√ (n-3), where r is the correlation and n is the sample size.
Therefore, exposures to PCB and mercury are positively correlated (after a logarithmic transformation the correlation to the cord blood mercury indicator is 0.40, p < 0.0001).
After the transformation, the correlation coefficient between each feature with the target vector was computed and those with correlation coefficient less than 0.1 were discarded.
In Steps 1 and 2, the adjacency measure between genes is defined using the power transformation of correlation coefficients.
Backward transformation in correlation coefficients resulted in a moderate association between impairment and disability (r = 0.60; r2 = 36%) and a weak association between impairment and HRQL (r = 0.36; r2 = 13%).
Because these standard deviations are corrected for intensity by transformation, the correlation in observed standard deviation is due to the probe set variability.
Although the EGFR signaling pathway is thought to play a central role in cell proliferation and malignant transformation, no correlation has been shown between EGFR expression and response to treatment.
Although some mutations are beneficial in the long term by allowing for adaptation to changing environments via natural selection, most mutations are detrimental and can lead to consequences as serious as cell death or transformation; the correlation between mutagenic activity and carcinogenic activity is approximately 90% [ 6].
One possible reason for this might be that the data were transformed (difference transformation) prior to correlation analysis to obtain normality.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com