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The "classical" statistical analysis procedure compares endpoints between groups by applying statistical tests.
GraphPad Software (La Jolla, CA, USA) was used to determine statistical significance of difference between groups by applying statistical tests as specified in results.
The Class Comparison analyses were performed using BRB ArrayTools [ 17] developed by Dr. Richard Simon and Amy Peng Lam to determine if gene expression profiles were different between groups by applying a random variance t-test to the data.
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Thus, we attempted to control for the disparity in subsequent EGFR-TKI therapy between the two treatment groups by applying a censoring approach at the OS estimation [ 24, 25].
Their particular focus is to raise the standards of protection for both combatants and civilians in conflicts between states and insurgent armed groups, by applying rules developed for armed conflicts between states to all armed conflicts.
Corrected female to male ratio in the migraine group was 3 to 1; age distributions were significantly different between the migraine and nonmigraine groups by applying t-test.
After applying a matching method, it is necessary to check whether the treated and control groups are sufficiently balanced by estimating the standardized mean difference between the groups or by applying graphical methods such as quantile-quantile plots, cumulative distribution functions plots, etc. [34].
The significance of differences between groups was determined by applying Student's two-tailed t-test.
Comparisons between groups were made by applying ANOVA and student t-test analysis.
The statistical significance of difference in metastatic tumor weight between groups was determined by applying Student's t test.
The significance of differences between groups was calculated by applying Student's t-test or χ-test.
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