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Scanning Electron Microscopy (SEM) was used as a complementary tool with particle size analysis to evaluate the effect of the material properties on the quality attributes of the final granules and provide further insight into the growth mechanisms.
We used a whole-brain voxel-wise analysis to evaluate the effect of scanner, effect of disease, and the interaction of scanner and disease for the 6 different scanners.
Therefore, analysis to evaluate the effect of different mixture parameters (such as water content, cement content, admixtures, and mixture components) could not be performed.
We then performed a Spearman correlation analysis to evaluate the effect of experience level on the performance of the two groups of residents.
To this end, we performed a Spearman rank correlation analysis to evaluate the effect of experience level, examining the relationship between year of residency and PRS.
We performed longitudinal data analysis to evaluate the effect of time on EQ-Index adjusting for important covariates, building a marginal model with generalized estimating equations.
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We used segmented regression analysis to evaluate the effects of the intervention.
Marik et al. performed a meta-analysis to evaluate the effects of H2RBs and placebo [ 9].
QRT-PCR analysis was performed to evaluate the effect of over-expression.
Further analysis was done to evaluate the effect of very low SBP.
A difference-in-difference analysis was used to evaluate the effect of the 2009 policy.
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