Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies-Reference-Cited by-同舟云学术

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

Published:2019-02-12 Issue:6 Volume:321 Page:602
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Haneuse Sebastien¹,VanderWeele Tyler J.¹²,Arterburn David³⁴

Affiliation:

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

Publisher

American Medical Association (AMA)

Subject

General Medicine

Reference6 articles.

1. Long-term outcomes of bariatric surgery: a National Institutes of Health symposium.;Courcoulas;JAMA Surg,2014

2. Association between bariatric surgery and macrovascular disease outcomes in patients with type 2 diabetes and severe obesity.;Fisher;JAMA,2018

3. Sensitivity analysis without assumptions.;Ding;Epidemiology,2016

4. Sensitivity analysis in observational research: introducing the E-value.;VanderWeele;Ann Intern Med,2017

5. Web site and R Package for computing E-values.;Mathur;Epidemiology,2018

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