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Next, we computed the bias between these two groups of data, and we repeated this process 100 times.
Therefore, any bias in the sampling of such data should be roughly equivalent between these two groups of data, making the data distributions similar between groups.
6 studies (containing 360 patients) [ 15– 19, 19, 20, 23] reported the baseline and ending serum sodium concentration both, and we separately compared these two groups of data to detect the effects of intervention measures.
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In general, Student's t-test was used to calculate the statistical significance between the two groups of data.
In terms of the statistical methods, researchers used averages to compare the two groups of data.
There was no significant difference between the two groups of data for any of the considered organs (P > 0.05) except for the intestine (P = 0.03).
The standard deviations were calculated for the two groups of data and are shown as error bars in Fig. 3of the main text.
Here, one can see that the two groups of data point can be roughly differentiated.
Distinct division between the two groups of data can be seen in the Figure.
There were no significant differences in pooling data (including HPV 16, 18, 52, or 58) or different type between these two groups of patients (data not shown).
However, we could not identify any miRNA that could distinguish these two groups of patients (data not shown).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com