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JAMA. 2019 Feb 12;321(6):602-603. doi: 10.1001/jama.2018.21554.

Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies.

Author information

1
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
2
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
3
Kaiser Permanente Washington Health Research Institute, Seattle, Washington.
4
Department of Medicine, University of Washington, Seattle.
PMID:
30676631
DOI:
10.1001/jama.2018.21554
[Indexed for MEDLINE]

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