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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

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To be consistently successful, it's important to take a thorough, thought-out approach to preventing one's scent from spooking the quarry, whether it's a whitetail or bull elk