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The multivariable analysis highlighted a significant seroprevalence heterogeneity among households.
In addition to qualitative evidence reported by Shiffman [ 13], the multivariable analysis highlighted the positive effect of the presence of an operating CCG system, characterized by the automatic provision of recommendation in electronic form as part of clinician workflow.
The multivariable analysis highlighted two variables as statistically significant predictors of CCG positive impact on the process of care: Automatic provision of recommendation in electronic version as part of clinician workflow (Odds Ratio [OR]= 17.5; 95% confidence interval [CI]: 1.6-193.7) and Publication Year (OR = 6.7; 95%CI: 1.3-34.3).
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Our multivariable analysis highlights some of the limitations in the interpretation of the impact factor.
Haplotype analysis highlighted LEPR and PTGER3.
This analysis highlighted several treatment effects.
Table 4 highlights the results of the multivariable analysis.
This conclusion is supported by the hierarchical cluster analysis of household types presented here, and highlights the importance of examining and reporting unconditional associations between variables after multivariable analysis.
multivariable analysis of variance.
Design: Cross-sectional multivariable analysis.
Then, the multivariable analysis tools are employed.
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CEO of Professional Science Editing for Scientists @ prosciediting.com