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This regression-based difference-in-differences design controlled for state fixed effects to ensure no bias would be introduced by time-invariant state-level characteristics that could increase the propensity to implement smoke-free legislation and affect infant and child health, as well as year fixed effects to account for bias from national trends in infant and child health
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We described the data as means and standard deviations (SD) for quantitative variables with normal distribution, and as median and interquartile range (IQR) for quantitative variables with skewed distribution
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