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The multivariable models include the significant variables from backwards stepwise procedure.
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Despite our attempt to overcome confounding by using multivariable models including well-established confounders, unmeasured residual confounding may have occurred.
Separate multivariable models included measures of public interest and scientific productivity.
All multivariable models included vancomycin total dose and dosing interval.
Then multivariable models, including all predictors and confounders, were estimated.
The final multivariable models included all potential covariates.
All multivariable models included ascertainment as previously described.
Multivariable models included covariates with a significance of p ≤ 0·1 in univariable models.
The final multivariable models included body mass index and smoking (as categorized above).
Multivariable models included participant characteristics that were selected based on statistical significance or a priori rationale.
The multivariable models included hospital admission in month t and time (that is, month t).
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