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Despite our attempt to overcome confounding by using multivariable models including well-established confounders, unmeasured residual confounding may have occurred.
Results from the multivariable models, including the estimated effect of PDMPs on drug overdose mortality, did not change to any meaningful degree when a one-year lag was introduced to the implementation date or when the implementation date was replaced with the date when the state PDMP legislation was enacted.
Then multivariable models, including all predictors and confounders, were estimated.
In multivariable models including all SES measures simultaneously, most associations were attenuated.
Odds ratios for vision variables were each derived from separate multivariable models including all non-visual covariates shown.
*OR for vision variables were each derived from separate multivariable models including all non-visual covariates shown.
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Separate multivariable models included measures of public interest and scientific productivity.
All multivariable models included vancomycin total dose and dosing interval.
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.
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