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We tested prespecified effect modifiers using multivariable hierarchical regression, adjusting for important prognostic factors and clustering effects.
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For the primary endpoint of mortality from any cause, we calculated odds ratios (ORs) and 95% confidence intervals (CIs) using multivariable hierarchical logistic regression [ 25, 26].
For the primary endpoint of setting- and diagnosis-specific treatment failure or all-cause mortality alone, we calculated adjusted odds ratios (ORs) (with age and sex as additional fixed effects) and 95% confidence intervals (CIs) using multivariable hierarchical logistic regression.
We used multivariable hierarchical logistic regression and conducted sensitivity analyses stratified by clinical settings and ARI diagnoses to assess the results' consistency.
Analyses were performed using multivariable logistic regression.
Strengths of associations are determined using multivariable logistic regression.
*Adjusted prevalence ratios estimated using multivariable logistic regression followed by marginal standardization.
The relationship between in-hospital mortality and determinants was analyzed using multivariable logistic regression analysis.
The association between prepayment systems and EMS use was analyzed using multivariable logistic regression.
We modelled screening using multivariable logistic regression.
Associations with statin use were analyzed using multivariable logistic regression.
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