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Additional file 4: Univariate and multivariable analyses in all patients and the subgroup with shock.
Two of these did multivariable analyses in which the associations were not retained [ 53, 58].
Logistic regression was used for multivariable analyses in the prevalence study.
Table 1 shows the dimension-specific multivariable analyses in relation to not working 3 months after injury.
Based on this imputation, we present adjusted results of bivariable analyses in Table 3, and multivariable analyses in Table 4.
A logistic regression model was applied for multivariable analyses in case of a binary dependent variable (DLB positivity, e.g).
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In the multivariable analyses (difference-in-difference results), however, we observed that the uptake of FP in the intervention sites was significantly lower compared to comparison sites.
However, in the earlier report an increasing number of recent oral sex partners was borderline significantly associated with oral high-risk HPV incidence in multivariable analyses, while in this report it was a strong and independent determinant.
In these multivariable analyses, individuals in groups A and B were at a fourfold increased risk for all-cause mortality compared with individuals without diabetes.
All of the results from the multivariable analyses presented in table 4 and 5 were unchanged when they were repeated with multiple pregnancies removed.
In multivariable analyses, patients treated in hospitals with lower annualized aSAH volumes were more likely to be readmitted 30 days after discharge (lowest versus highest quintile, 1 2 versus 16 30 cases; adjusted odds ratio, 2.10; 95% confidence interval, 1.56 2.84).
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