Can I Believe the Results From Observational Studies? Using E-Values That Anyone Can Calculate for Evaluating the Risk of Confounding
JAMA Clinical Reviews
English - February 12, 2019 16:00 - 28 minutes - 26 MB - ★★★★★ - 413 ratingsMedicine Health & Fitness Science medical clinicalpractice healthcare medicine Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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E-values are a new tool that enables investigators to estimate the likelihood that some unmeasured confounder might overcome seemingly positive results. They are very easy to calculate and any reader of the medical literature can do this calculation to get a sense for how likely it is that there is some unmeasured factor in an observational study that might negate otherwise seemingly positive findings.
Read the article: Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies