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      Do causal concentration–response functions exist? A critical review of associational and causal relations between fine particulate matter and mortality

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      Critical Reviews in Toxicology
      Informa UK Limited

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          Most cited references76

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          Causal inference in statistics: An overview

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            Evidence on the impact of sustained exposure to air pollution on life expectancy from China's Huai River policy.

            This paper's findings suggest that an arbitrary Chinese policy that greatly increases total suspended particulates (TSPs) air pollution is causing the 500 million residents of Northern China to lose more than 2.5 billion life years of life expectancy. The quasi-experimental empirical approach is based on China's Huai River policy, which provided free winter heating via the provision of coal for boilers in cities north of the Huai River but denied heat to the south. Using a regression discontinuity design based on distance from the Huai River, we find that ambient concentrations of TSPs are about 184 μg/m(3) [95% confidence interval (CI): 61, 307] or 55% higher in the north. Further, the results indicate that life expectancies are about 5.5 y (95% CI: 0.8, 10.2) lower in the north owing to an increased incidence of cardiorespiratory mortality. More generally, the analysis suggests that long-term exposure to an additional 100 μg/m(3) of TSPs is associated with a reduction in life expectancy at birth of about 3.0 y (95% CI: 0.4, 5.6).
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              Principal Stratification in Causal Inference

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                Author and article information

                Journal
                Critical Reviews in Toxicology
                Critical Reviews in Toxicology
                Informa UK Limited
                1040-8444
                1547-6898
                July 04 2017
                August 09 2017
                June 28 2017
                August 09 2017
                : 47
                : 7
                : 609-637
                Affiliations
                [1 ] Cox Associates, Denver, CO, USA
                Article
                10.1080/10408444.2017.1311838
                28657395
                6b24a61c-839a-4298-998a-701f65004126
                © 2017
                History

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