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JAMA Guide to Statistics and Methods
January 24, 2019

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

Author Affiliations
  • 1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
  • 2Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
  • 3Kaiser Permanente Washington Health Research Institute, Seattle, Washington
  • 4Department of Medicine, University of Washington, Seattle
JAMA. 2019;321(6):602-603. doi:10.1001/jama.2018.21554
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