Sensitivity Analysis in Observational Research¶
VanderWeele, T. J., & Ding, P. (2017). Sensitivity Analysis in Observational Research: Introducing the E-Value. Annals of Internal Medicine, 167(4), 268-274.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Leakage Sensitivity Grid
- The distinctive move is that it explores assumed contamination rather than estimating it, so its honesty comes from spanning a range and naming the tipping point
This sourceDefines the E-value as the minimum confounder-association strength needed to explain an observed association away.
- The distinctive move is that it explores assumed contamination rather than estimating it, so its honesty comes from spanning a range and naming the tipping point
- Sensitivity Analysis for Unmeasured Confounding
- It computes the minimum strength an unmeasured confounder would need — say, an association of roughly a 2.5-fold risk ratio (illustrative) with both treatment assignment and crime — to fully explain away the estimated effect, a summary such as an E-value.
This sourceDefines the E-value as the minimum risk-ratio association an unmeasured confounder would need with both exposure and outcome to explain away the observed association.
- It computes the minimum strength an unmeasured confounder would need — say, an association of roughly a 2.5-fold risk ratio (illustrative) with both treatment assignment and crime — to fully explain away the estimated effect, a summary such as an E-value.
Verification¶
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