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Literature DB >> 28130319

Commentary: On Causes, Causal Inference, and Potential Outcomes.

Tyler J VanderWeele.

Abstract

Entities: Chemical

Year: 2016 PMID： 28130319 PMCID： PMC5841618 DOI： 10.1093/ije/dyw230

Source DB: PubMed Journal: Int J Epidemiol ISSN： 0300-5771 Impact factor: 9.685

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18 in total

1. Identifiability and exchangeability for direct and indirect effects.

Authors: J M Robins; S Greenland
Journal: Epidemiology Date: 1992-03 Impact factor: 4.822

Review 2. Mendelian randomization as an instrumental variable approach to causal inference.

Authors: Vanessa Didelez; Nuala Sheehan
Journal: Stat Methods Med Res Date: 2007-08 Impact factor: 3.021

3. Concerning the consistency assumption in causal inference.

Authors: Tyler J VanderWeele
Journal: Epidemiology Date: 2009-11 Impact factor: 4.822

4. The probability of causation under a stochastic model for individual risk.

Authors: J Robins; S Greenland
Journal: Biometrics Date: 1989-12 Impact factor: 2.571

5. Causal Inference Under Multiple Versions of Treatment.

Authors: Tyler J VanderWeele; Miguel A Hernán
Journal: J Causal Inference Date: 2013-05-01

6. The Role of Stage at Diagnosis in Colorectal Cancer Black-White Survival Disparities: A Counterfactual Causal Inference Approach.

Authors: Linda Valeri; Jarvis T Chen; Xabier Garcia-Albeniz; Nancy Krieger; Tyler J VanderWeele; Brent A Coull
Journal: Cancer Epidemiol Biomarkers Prev Date: 2015-10-26 Impact factor: 4.254

7. Sensitivity Analysis Without Assumptions.

Authors: Peng Ding; Tyler J VanderWeele
Journal: Epidemiology Date: 2016-05 Impact factor: 4.822

8. Rejoinder: how to reduce racial disparities?: Upon what to intervene?

Authors: Tyler J VanderWeele; Whitney R Robinson
Journal: Epidemiology Date: 2014-07 Impact factor: 4.860

9. The control outcome calibration approach for causal inference with unobserved confounding.

Authors: Eric Tchetgen Tchetgen
Journal: Am J Epidemiol Date: 2013-12-20 Impact factor: 4.897

10. Causality and causal inference in epidemiology: the need for a pluralistic approach.

Authors: Jan P Vandenbroucke; Alex Broadbent; Neil Pearce
Journal: Int J Epidemiol Date: 2016-12-01 Impact factor: 7.196

27 in total

1. Is the Smog Lifting?: Causal Inference in Environmental Epidemiology.

Authors: W Dana Flanders; Michael D Garber
Journal: Epidemiology Date: 2019-05 Impact factor: 4.822

2. Methodological Challenges When Studying Distance to Care as an Exposure in Health Research.

Authors: Ellen C Caniglia; Rebecca Zash; Sonja A Swanson; Kathleen E Wirth; Modiegi Diseko; Gloria Mayondi; Shahin Lockman; Mompati Mmalane; Joseph Makhema; Scott Dryden-Peterson; Kalé Z Kponee-Shovein; Oaitse John; Eleanor J Murray; Roger L Shapiro
Journal: Am J Epidemiol Date: 2019-09-01 Impact factor: 4.897

3. Commentary: Counterfactual causation and streetlamps: what is to be done?

Authors: James M Robins; Michael B Weissman
Journal: Int J Epidemiol Date: 2016-12-01 Impact factor: 7.196

4. Evaluating Public Health Interventions: 5. Causal Inference in Public Health Research-Do Sex, Race, and Biological Factors Cause Health Outcomes?

Authors: M Maria Glymour; Donna Spiegelman
Journal: Am J Public Health Date: 2016-11-17 Impact factor: 9.308