Small epidemiological associations do not imply a significant risk

“When effects are this small, it is extremely possible that the effects are not real, but are artifacts of the statistical methods used in the original analysis.  If these findings had had Relative Risks or Risk Ratios of 4.0 or 7.9 or any value that might indicate a strong association, then I would be more convinced.  But with so many of the metrics not even passing the most basic test of significance, I am concerned that the findings represent only what John P.A. Ioannidis has termed “simply accurate measures of the prevailing bias.” “  click here

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