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Regarding the height of augmented sinus floor postoperatively, a multiple comparison analysis revealed a significant difference between the groups.
McNemar analysis revealed a significant difference between patients who returned home or not on discharge (McNemar analysis, p = 0.003).
Statistical analysis revealed a significant difference between these two independent proportions (one-tailed p < 0.023, see Table 6).
Multivariate nonparametric longitudinal analysis revealed a significant difference between the groups (survivors vs. non-survivors; p < 0.001) and a significantly different trend between the groups over the time course (p < 0.001) (Fig. 2b).
Chi-square analysis revealed a significant difference between experiments 1 4 and 5 (p = 0.0027).
The analysis revealed a significant difference between leverage and eigenvector centrality (p = 0.021), while the difference between degree and eigenvector centrality was only marginally significant (p = 0.06).
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Kaplan Meier analysis revealed a significant difference in survival between the two cohorts.
Univariate analysis revealed a significant difference in median BMFS between breast cancer subtypes.
Analysis of post-test achievement and retention tests revealed a significant difference between the groups favoring brain-based learning.
This analysis did not reveal a significant difference in variation between the two groups.
The primary mortality analysis did not reveal a significant difference in survival between the treatment groups.
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