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Exploratory outcomes included the proportion of participants in each group reporting clinically meaningful changes at 3- and 6-month follow-ups.Generalized linear mixed models with sequential Bonferroni-adjusted pairwise significance tests and chi-square analyses examined longitudinal outcomes.
Relative intensities of metabolites detected by GC-TOF-MS were analysed separately with general linear models with sequential sum of squares (type I sums of squares).
Models with sequential SOFA seem to have comparable performance with other organ failure scores.
Models with sequential SOFA scores seem to have a comparable performance with other organ failure scores.
Models with sequential stages assume that an impact or output at one stage may, or may not, lead to increasingly concrete and widespread impacts over time.
Logistic regression models with sequential inclusion of each bundle item, and odd ratios (OR) and 95% confidence interval (CI) for in-hospital mortality.
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The classifier method used in this study was fuzzy modeling with sequential forward selection [40, 41], specifically Takagi-Sugeno (TS) fuzzy modeling.
For filamin, we find that the p(F) can be well described by a model with two unfolding pathways, but not by a model with sequential barriers.
In order to identify the independent predictors of major infections, all variables with P < 0.20 in the univariate analysis were entered into a binary logistic regression model with sequential elimination of nonsignificant variables.
The significance of interaction terms between time interval and the remaining main effects variables was tested in separate models with stepwise sequential removal of terms with p > 0.05.
Mixed model analysis with sequential Bonferroni adjustment was used to analyse the matched data.
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