25 min listen
Can I Believe the Results From Observational Studies? Using E-Values That Anyone Can Calculate for Evaluating the Risk of Confounding
Can I Believe the Results From Observational Studies? Using E-Values That Anyone Can Calculate for Evaluating the Risk of Confounding
ratings:
Length:
28 minutes
Released:
Feb 12, 2019
Format:
Podcast episode
Description
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 E-Value Calculator
Released:
Feb 12, 2019
Format:
Podcast episode
Titles in the series (100)
Treating Chronic Sinusitis in Adults: Interview with Luke Rudmik, MD, MSc, author of This systematic review summarizes the evidence-based medical treatment of adult chronic sinusitis and proposes a treatment algorithm. by JAMA Clinical Reviews