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To compare incidence rates we standardized to the European standard population.
Thus we standardized scores into what are, roughly, "standard deviation equivalents" using the statistical device known as Z-scores.
Finally, prior to application of the causal orientation methods, we standardized the data to mean zero and standard deviation one.
Again, we standardized the data by subtraction of the mean and division by the standard deviation.
Next, we standardized raw scores by subtracting respondent's mean score and dividing by its standard deviation.
Before fitting we standardized the variables.
We standardized the first confounding variable by selecting crossing structures remote from areas of human activity.
Moreover, we standardized the protocol for stimulating patients after the surgery.
The second confounding variable we standardized by developing probability models of crossing structure usage assuming habitat homogeneity.
Herein, we standardized optimal concentration (5%) of olive oil to get spinable solution for fabrication of oil blended nanofiberous membranes.
To visualize the effects of AuNVs, we standardized the ELISPOT spot count with the amount of peptide used.
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