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The influence of sociocultural variables on EID and these descriptors was studied using univariable analyses and multiple linear regression (MLR).
Initially all potential risk factors were screened using univariable analyses, and only those showing significant difference between groups at P < 0.2 were included in the model.
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Statistical significance was defined as p<0.05, two sided, except for the reduction of the cognitive battery in which the statistical significance was defined as p<0.25; the use of this more liberal significance level is advocated during screening of variables for inclusion in subsequent analyses using univariable analyses [45].
Prognostic factors for survival were identified using univariable analyses (Table 2).
Using univariable analyses, several researchers [ 29- 31, 33] have not found an association between flock colonization and routines for cleaning and disinfecting footwear.
In both faculty and resident patient groups, we separately assessed the effect of several patient parameters on documentation of care measures using univariable analyses (Table 3).
We used univariable analyses to estimate the crude ORs and 95% CI.
We used univariable analyses to screen potential variables because we anticipated having too few events to include all variables in the initial model.
Chi-Square tests were used for univariable analyses and linear- and logistic models for multivariable analyses.
We assessed for correlation between household and individual factors and reported history of cholera since 2010 using univariable and multivariable analyses.
The ORs and 95% CIs were estimated using univariable and multivariable analyses of the determinants of moderate or poor self-reported health.
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