ArticleEnvironmental health : a global access science source2019
A tensor product quasi-Poisson model for estimating health effects of multiple ambient pollutants on mortality.
Article in Environmental health : a global access science source, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 9 citations in OpenAlex.
- Short-term effects of air pollution exposure on the risk of preterm birth in Xi'an, China.Annals of medicine · 2023Article
- Short-term exposure to ambient fine particulate matter and psoriasis: A time-series analysis in Beijing, China.Frontiers in public health · 2022Article
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Authors and funding
6 authors at 1 institution in 1 country.
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Abstract
backgroundPeople are exposed to mixtures of highly correlated gaseous, liquid and solid pollutants. However, in previous studies, the assessment of air pollution effects was mainly based on single-pollutant models or was simultaneously included as multiple pollutants in a model. It is essential to develop appropriate methods to accurately estimate the health effects of multiple pollutants in the presence of a high correlation between pollutants.
methodsThe flexible tensor product smooths of multiple pollutants was applied for the first time in a quasi-Poisson model to estimate the health effects of SO
resultsThe tensor product model revealed a complex interaction among three pollutants and significant combined effects of PM
conclusionsThe single-pollutant model or conventional multi-pollutant model may yield misleading results in the presence of collinearity. The tensor product quasi-Poisson regression provides a novel approach to the assessment of the health impacts of multiple pollutants by flexibly fitting the interaction effects and avoiding the collinearity problem.
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