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Univariate and multiple (adjusting for the same potential confounding factors) linear regressions for the CISS score involving the different items of the eye exercises of acupoints were also performed.
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In a 2nd model, we multiple-adjusted for parameters that were identified in the 1st model.
All analyses accounted for multiples by adjusting for multiple birth status as a linear regression term and allowing for clustering by family.
This will be performed by multiple regression adjusting for infusion type and type of operation.
Statistical analysis is performed with multiple linear regressions, adjusting for age, sex and multiple comparisons.
Bonferroni-Holm- corrections for multiple comparisons adjusted for dependent measurements have been performed for all correlations (k = 10) [32].
In addition to univariate analysis, we performed multivariate analysis, constructing multiple models adjusted for relevant covariates in a stepwise manner.
Factors independently associated with fibrinogen on multiple regression (adjusted for age and gender) were CRP and HbA1c (Table 3).
However, the differences between countries persisted in the multiple regression after adjusting for other available predictors.
Pesticide related associations were tested by linear multiple regression analysis, adjusting for relevant confounders.
The differences between countries were confirmed by multiple regression while adjusting for other potential predictors.
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