Literature DB >> 30789424

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

W Dana Flanders1,2, Michael D Garber1.   

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Year:  2019        PMID： 30789424      PMCID： PMC6456370          DOI： 10.1097/EDE.0000000000000986

Source DB:  PubMed          Journal:  Epidemiology        ISSN： 1044-3983            Impact factor:   4.822


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  26 in total

Review 1.  A new tool for epidemiology: the usefulness of dynamic-agent models in understanding place effects on health.

Authors:  Amy H Auchincloss; Ana V Diez Roux
Journal:  Am J Epidemiol       Date:  2008-05-13       Impact factor: 4.897

2.  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

3.  For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates.

Authors:  Sander Greenland
Journal:  Eur J Epidemiol       Date:  2017-02-20       Impact factor: 8.082

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

Authors:  Tyler J VanderWeele; Miguel A Hernán; Eric J Tchetgen Tchetgen; James M Robins
Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 7.196

5.  A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference.

Authors:  Eleanor J Murray; James M Robins; George R Seage; Kenneth A Freedberg; Miguel A Hernán
Journal:  Am J Epidemiol       Date:  2017-07-15       Impact factor: 4.897

6.  Invited Commentary: Agent-Based Models-Bias in the Face of Discovery.

Authors:  Katherine M Keyes; Melissa Tracy; Stephen J Mooney; Aaron Shev; Magdalena Cerdá
Journal:  Am J Epidemiol       Date:  2017-07-15       Impact factor: 4.897

7.  A method to detect residual confounding in spatial and other observational studies.

Authors:  W Dana Flanders; Mitchel Klein; Lyndsey A Darrow; Matthew J Strickland; Stefanie E Sarnat; Jeremy A Sarnat; Lance A Waller; Andrea Winquist; Paige E Tolbert
Journal:  Epidemiology       Date:  2011-11       Impact factor: 4.822

Review 8.  Causal models and learning from data: integrating causal modeling and statistical estimation.

Authors:  Maya L Petersen; Mark J van der Laan
Journal:  Epidemiology       Date:  2014-05       Impact factor: 4.822

9.  Causal Inference in Environmental Epidemiology: Old and New Approaches.

Authors:  Neil Pearce; Jan P Vandenbroucke; Deborah A Lawlor
Journal:  Epidemiology       Date:  2019-05       Impact factor: 4.822

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

Authors:  Tyler J VanderWeele
Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 9.685
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  2 in total

1.  The Authors Respond.

Authors:  W Dana Flanders; Michael D Garber
Journal:  Epidemiology       Date:  2019-11       Impact factor: 4.822

2.  In Pursuit of Evidence in Air Pollution Epidemiology: The Role of Causally Driven Data Science.

Authors:  Marco Carone; Francesca Dominici; Lianne Sheppard
Journal:  Epidemiology       Date:  2020-01       Impact factor: 4.822
  2 in total

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