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Compared with traditional meta-analysis using linear mixed effect models, MR-BRT relaxes the assumption of a log(linear) relationship between exposure and risk, incorporates between-study heterogeneity into the uncertainty of risk estimates, handles estimates reported across different exposure categories, automatically identifies and trims outliers, and systematically tests and adjusts for bias due to study designs and characteristics

While its not considered heavy smoking, its still enough to bring substantial health risks

This meant that there was no identifying feature to show that taxes had been paid on the product

Consumer demand is shifting from basic manual rollers to electric models