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

Sebastien Haneuse¹, Tyler J VanderWeele^{1

2}, David Arterburn^{3

4}

Affiliations

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.

Sebastien Haneuse et al. JAMA. 2019.

. 2019 Feb 12;321(6):602-603.

doi: 10.1001/jama.2018.21554.

Sebastien Haneuse¹, Tyler J VanderWeele^{1

2}, David Arterburn^{3

4}

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.

No abstract available

MeSH terms