4.7 Editorial Material

Are Greenland, Ioannidis and Poole opposed to the Cornfield conditions? A defence of the E-value

Related references

Note: Only part of the references are listed.
Editorial Material Public, Environmental & Occupational Health

Invited Commentary: Dealing With the Inevitable Deficiencies of Bias Analysis-and All Analyses

Sander Greenland

Summary: The study discusses the optimal practices for bias analysis and highlights the impossibility of achieving statistically optimal analysis in typical population studies. Therefore, analysis can only attempt to satisfy practice guidelines and consider available information both within and outside the study.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2021)

Article Public, Environmental & Occupational Health

The Importance of Making Assumptions in Bias Analysis

Richard F. MacLehose et al.

Summary: Quantitative bias analyses can help researchers adjust for uncontrolled confounding by specifying bias parameters, but specifying these parameters can be challenging when unknown confounders are a concern. The bounding factor and E-value approaches by Ding and VanderWeele only require the user to specify some bias parameters, but caution is needed when assuming extreme prevalence of the uncontrolled confounder in E-values. It is important to distinguish between biases or effects when using these methods and to consider the practical utility of E-values when dealing with unknown confounders.

EPIDEMIOLOGY (2021)

Article Public, Environmental & Occupational Health

Multiple-bias Sensitivity Analysis Using Bounds

Louisa H. Smith et al.

Summary: This study demonstrates a method to bound the total composite bias due to confounding, selection bias, and measurement error, and uses that bound to assess the sensitivity of a risk ratio to any combination of these biases. The approach is conservative and provides a simpler alternative to quantitative bias analysis.

EPIDEMIOLOGY (2021)

Article Statistics & Probability

Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses

Maya B. Mathur et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2020)

Article Public, Environmental & Occupational Health

Use of E-values for addressing confounding in observational studies-an empirical assessment of the literature

Manuel R. Blum et al.

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2020)

Letter Public, Environmental & Occupational Health

E Values and Incidence Density Sampling

Tyler J. VanderWeele et al.

EPIDEMIOLOGY (2020)

Editorial Material Public, Environmental & Occupational Health

Commentary: Quantifying the unknown unknowns

Rolf H. H. Groenwold

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2020)

Editorial Material Public, Environmental & Occupational Health

Commentary: Cynical epidemiology

Jay S. Kaufman

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2020)

Editorial Material Public, Environmental & Occupational Health

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

Matthew P. Fox et al.

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2020)

Editorial Material Public, Environmental & Occupational Health

Commentary: Developing best-practice guidelines for the reporting of E-values

Tyler J. VanderWeele et al.

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2020)

Editorial Material Public, Environmental & Occupational Health

Commentary: An argument against E-values for assessing the plausibility that an association could be explained away by residual confounding

Sander Greenland

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2020)

Editorial Material Public, Environmental & Occupational Health

Commentary: Continuing the E-value's post-publication peer review

Charles Poole

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2020)

Article Statistics & Probability

Sensitivity analysis for publication bias in meta-analyses

Maya B. Mathur et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2020)

Article Public, Environmental & Occupational Health

Bounding Bias Due to Selection

Louisa H. Smith et al.

EPIDEMIOLOGY (2019)

Article Public, Environmental & Occupational Health

Simple Sensitivity Analysis for Differential Measurement Error

Tyler J. VanderWeele et al.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2019)

Article Public, Environmental & Occupational Health

Mediational E-values Approximate Sensitivity Analysis for Unmeasured Mediator-Outcome Confounding

Louisa H. Smith et al.

EPIDEMIOLOGY (2019)

Article Medicine, General & Internal

Limitations and Misinterpretations of E-Values for Sensitivity Analyses of Observational Studies

John P. A. Ioannidis et al.

ANNALS OF INTERNAL MEDICINE (2019)

Editorial Material Medicine, General & Internal

Correcting Misinterpretations of the E-Value

Tyler J. VanderWeele et al.

ANNALS OF INTERNAL MEDICINE (2019)

Article Mathematics, Interdisciplinary Applications

Technical Considerations in the Use of the E-Value

Tyler J. VanderWeele et al.

JOURNAL OF CAUSAL INFERENCE (2019)

Letter Public, Environmental & Occupational Health

Web Site and R Package for Computing E-values

Maya B. Mathur et al.

EPIDEMIOLOGY (2018)

Article Medicine, General & Internal

Sensitivity Analysis in Observational Research: Introducing the E-Value

Tyler J. VanderWeele et al.

ANNALS OF INTERNAL MEDICINE (2017)

Article Public, Environmental & Occupational Health

Sensitivity Analysis Without Assumptions

Peng Ding et al.

EPIDEMIOLOGY (2016)

Review Public, Environmental & Occupational Health

Has Epidemiology Become Infatuated With Methods? A Historical Perspective on the Place of Methods During the Classical (1945-1965) Phase of Epidemiology

Alfredo Morabia

ANNUAL REVIEW OF PUBLIC HEALTH, VOL 36 (2015)