Commentary: The value of E-values and why they are not enough-Reference-Cited by-同舟云学术

Commentary: The value of E-values and why they are not enough

Published:2020-07-04 Issue:5 Volume:49 Page:1505-1506
ISSN:0300-5771
Container-title:International Journal of Epidemiology
language:en
Short-container-title:

Author:

Fox Matthew P¹,Arah Onyebuchi A²,Stuart Elizabeth A³

Affiliation:

1. Department of Epidemiology and Global Health, Boston University School of Public Health, Boston, MA, USA

2. Department of Epidemiology, Fielding School of Public Health and Department of Statistics, College of Letters and Science, UCLA, Los Angeles, CA, USA

3. Department of Mental Health, Biostatistics and Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins, Baltimore, MD, USA

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Epidemiology

Link

http://academic.oup.com/ije/article-pdf/49/5/1505/34947277/dyaa093.pdf

Reference12 articles.

1. Use of E-values for addressing confounding in observational studies—an empirical assessment of the literature;Blum;Int J Epidemiol,2020

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

3. Applying Quantitative Bias Analysis to Epidemiologic Data

4. Basic methods for sensitivity analysis of biases;Greenland;Int J Epidemiol,1996

5. Bias formulas for external adjustment and sensitivity analysis of unmeasured confounders;Arah;Ann Epidemiol,2008

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2. Confounding and Interaction;Handbook of Epidemiology;2024

3. Are E-values too optimistic or too pessimistic? Both and neither!;International Journal of Epidemiology;2022-03-01

4. Are Greenland, Ioannidis and Poole opposed to the Cornfield conditions? A defence of the E-value;International Journal of Epidemiology;2021-10-13

5. Validation studies in epidemiologic research: estimation of the positive predictive value;Journal of Clinical Epidemiology;2021-09