Another univariate general linear model was generated to assess the effects of those variables as well as a first antidepressant drug on the MPR of the initial antidepressant.
General linear model by repeated measure ANOVA was generated to assess changes of efficacy variables from baseline at 30 and 90 days.
Luciferase reporter plasmids were generated to assess the direct effects of miR-26a and miR-30c on their putative target sites in the 3′-UTRs of CTGF and Snail1 mRNA.
Multivariable models were generated to assess the independent incremental predictive value of clinical and nuclear imaging variables.
For the neighbor-joining tree, 1,000 boot-strap samples were generated to assess support for the inferred relationships.
This is shown in Figure 3, which was generated to assess the relationship between dimensions and risk judgments.
For the subgroup analyses, impacts for each subgroup were calculated, and an H-statistic was generated to assess whether the difference in impacts between subgroups was statistically different.
A phylogenetic tree was generated with the neighbor-joining method and 1,000 bootstrap samples were generated to assess support for the inferred relationships.
Questions generated to assess the students in the knowledge level are easier than questions generated to assess the students in the comprehension level, as they have higher CTT difficulty indices (Spearman's R = 0.614, P-value <0.01) and lower IRT difficulty indices (Spearman's R = -0.616, P-value <0.01).
A similar model was generated to assess interaction between rs688 and statin suppression of %LDLR12.
Following De novo assembly, reference assembly (as described above) was performed using all contigs generated to assess genome coverage.
