Literature DB >> 31430263

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

Marco Carone1, Francesca Dominici2, Lianne Sheppard1,3.   

Abstract

Entities:  

Year:  2020        PMID： 31430263      PMCID： PMC6889002          DOI： 10.1097/EDE.0000000000001090

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


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  62 in total

1.  Confounding and exposure measurement error in air pollution epidemiology.

Authors:  Lianne Sheppard; Richard T Burnett; Adam A Szpiro; Sun-Young Kim; Michael Jerrett; C Arden Pope; Bert Brunekreef
Journal:  Air Qual Atmos Health       Date:  2011-03-23       Impact factor: 3.763

2.  Estimating causal effects of air quality regulations using principal stratification for spatially correlated multivariate intermediate outcomes.

Authors:  Corwin M Zigler; Francesca Dominici; Yun Wang
Journal:  Biostatistics       Date:  2012-01-19       Impact factor: 5.899

3.  Assessing the causal effect of policies: an example using stochastic interventions.

Authors:  Iván Díaz; Mark J van der Laan
Journal:  Int J Biostat       Date:  2013-11-19       Impact factor: 0.968

4.  Measurement error in two-stage analyses, with application to air pollution epidemiology.

Authors:  Adam A Szpiro; Christopher J Paciorek
Journal:  Environmetrics       Date:  2013-12-01       Impact factor: 1.900

5.  Effect of air-pollution control on death rates in Dublin, Ireland: an intervention study.

Authors:  Luke Clancy; Pat Goodman; Hamish Sinclair; Douglas W Dockery
Journal:  Lancet       Date:  2002-10-19       Impact factor: 79.321

6.  CAUSAL INFERENCE IN THE CONTEXT OF AN ERROR PRONE EXPOSURE: AIR POLLUTION AND MORTALITY.

Authors:  Xiao Wu; Danielle Braun; Marianthi-Anna Kioumourtzoglou; Christine Choirat; Qian Di; Francesca Dominici
Journal:  Ann Appl Stat       Date:  2019-04-10       Impact factor: 2.083

7.  The hazards of hazard ratios.

Authors:  Miguel A Hernán
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

8.  Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States.

Authors:  Qian Di; Itai Kloog; Petros Koutrakis; Alexei Lyapustin; Yujie Wang; Joel Schwartz
Journal:  Environ Sci Technol       Date:  2016-04-22       Impact factor: 9.028

9.  Lagged kernel machine regression for identifying time windows of susceptibility to exposures of complex mixtures.

Authors:  Shelley H Liu; Jennifer F Bobb; Kyu Ha Lee; Chris Gennings; Birgit Claus Henn; David Bellinger; Christine Austin; Lourdes Schnaas; Martha M Tellez-Rojo; Howard Hu; Robert O Wright; Manish Arora; Brent A Coull
Journal:  Biostatistics       Date:  2018-07-01       Impact factor: 5.899

10.  Predicting chronic fine and coarse particulate exposures using spatiotemporal models for the Northeastern and Midwestern United States.

Authors:  Jeff D Yanosky; Christopher J Paciorek; Helen H Suh
Journal:  Environ Health Perspect       Date:  2008-11-19       Impact factor: 9.031
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  2 in total

1.  Invited Commentary: The Promise and Pitfalls of Causal Inference With Multivariate Environmental Exposures.

Authors:  Corwin M Zigler
Journal:  Am J Epidemiol       Date:  2021-12-01       Impact factor: 5.363

2.  A Multipollutant Approach to Estimating Causal Effects of Air Pollution Mixtures on Overall Mortality in a Large, Prospective Cohort.

Authors:  Eugenio Traini; Anke Huss; Lützen Portengen; Matti Rookus; W M Monique Verschuren; Roel C H Vermeulen; Andrea Bellavia
Journal:  Epidemiology       Date:  2022-04-05       Impact factor: 4.860
  2 in total

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