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Two-way analysis of variance (ANOVA) with the Bonferroni adjusted post hoc test was used to evaluate the influence of variables.
Time effects were examined using Bonferroni adjusted post hoc pairwise comparisons, and repeated measures t tests were used to compare mean differences between intervention groups at select time points, when indicated by main effects or interaction.
Nucleotide sequences were aligned initially using ClustalX2 (version 2.0.3) [20], amino acid sequences were aligned using MUSCLE (version 3.6; http://www.drive5.com/muscle/download3.6.html) [21], and all sequence alignments were adjusted post hoc by visual inspection to ensure that the alignments were biologically relevant [22].
Differences significant in adjusted, post hoc between-group comparisons are described within the text.
P-value thresholds for significance assessment were adjusted post hoc using the sequential Bonferroni-Holm procedure.
Because of a difference in sex distribution at baseline, we adjusted post hoc analysis of outcomes for sex.
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Two-way repeated measures analysis of variance with Bonferroni adjusted post-hoc test and unpaired-t-test were performed for statistical analysis with SPSS program.
We corrected for clustering effects via survey regression analyses with robust standard errors and calculated adjusted post-test means of health outcomes, controlling for all covariates and the boosted propensity score of EC participants.
The stratified age-bands from the original protocol were adjusted post-hoc, to enable a better separation of the age-cohorts with respect to their MenC immunization status.
Expression changes over time were tested for statistical significance by ANOVA with Bonferroni adjusted post-tests.
Table 4 shows the observed (post-test - pre-test) and adjusted (post-test - then-test) mean score changes in the EORTC QLQ-C30 for the four domains.
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