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In this regard, P values of 0.05 or less for each variable indicated discrepancy in the time trend of the variable between the two groups.
In the event that a variable was found not to be normally distributed a related-samples McNemar test was used in lieu of analysis of variance to test for differences in the variable between baseline and 8 weeks.
Therefore, both the difference in the distribution of the variable between the exposed and unexposed subjects and the association between the variable and the outcome are important: variables not associated with the outcome do not lead to confounding and therefore do not need to be balanced.
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And what you've said about A-level choices doesn't explain the variables between colleges.
The data of survivors and non survivors are in table 2. Table 2 The variables between survivors and nonsurviors.
Differences in the variables between the subsamples were tested under the null hypothesis that the distribution of a variable was the same across categories.
Student t test was used for statistical analysis of the variables between the two groups.
Non parametric statistics were used to describe differences in the variables between the subgroups.
Thus, PSM resulted in a more balanced distribution of the variables between control and intervention groups.
Unpaired Student's t-test was performed to compare the variables between the VAD and the control groups.
The Student's t test or Fisher's Exact test was performed to compare the variables between the two groups.
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