Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies
Harvard University · Kaiser Permanente Washington Health Research Institute · +1 more institution
Indexed incrossrefpubmed
Abstract
This Guide to Statistics and Methods discusses E-value analysis, an alternative approach to sensitivity analyses for unmeasured confounding in observational studies that specifies the degree of unmeasured confounding that would need to be operative to negate observed results in a study.
Citation impact
988
total citations
- FWCI
- 67.71
- Percentile
- 100%
- References
- 7
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Confounding
- Observational study
- Medicine
- Statistics
- Value (mathematics)
- Econometrics
- Internal medicine
- Mathematics
No related works found for this paper.