Evidence map›Paper›PMID 27494960›Full record

ArticleSpatial and spatio-temporal epidemiology2016

How robust are the estimated effects of air pollution on health? Accounting for model uncertainty using Bayesian model averaging.

Francesca Pannullo, Duncan Lee, Eugene Waclawski, Alastair H Leyland

Abstract read
In one paragraph

Article in Spatial and spatio-temporal epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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  6. Estimation of QT interval prolongation through model-averaging.Journal of pharmacokinetics and pharmacodynamics · 2017
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Francesca PannulloMRC|CSO Social and Public Health Science Unit, University of Glasgow, 200 Renfield Street, Glasgow, G2 3QB, UK. Electronic address: f.pannullo.1@research.gla.ac.uk.
Duncan LeeSchool of Mathematics and Statistics, University of Glasgow, 15 University Gardens, Glasgow, G12 8QW, UK.
Eugene WaclawskiPublic Health, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK.
Alastair H LeylandMRC|CSO Social and Public Health Science Unit, University of Glasgow, 200 Renfield Street, Glasgow, G2 3QB, UK.

Funding

Medical Research Council MC_UU_12017/13Medical Research Council MC_UU_12017/5
6 · The paper itself

Abstract

The long-term impact of air pollution on human health can be estimated from small-area ecological studies in which the health outcome is regressed against air pollution concentrations and other covariates, such as socio-economic deprivation. Socio-economic deprivation is multi-factorial and difficult to measure, and includes aspects of income, education, and housing as well as others. However, these variables are potentially highly correlated, meaning one can either create an overall deprivation index, or use the individual characteristics, which can result in a variety of pollution-health effects. Other aspects of model choice may affect the pollution-health estimate, such as the estimation of pollution, and spatial autocorrelation model. Therefore, we propose a Bayesian model averaging approach to combine the results from multiple statistical models to produce a more robust representation of the overall pollution-health effect. We investigate the relationship between nitrogen dioxide concentrations and cardio-respiratory mortality in West Central Scotland between 2006 and 2012.

Indexed as

Models, TheoreticalAir PollutantsAir PollutionBayes TheoremCardiovascular DiseasesHealth StatusHumansNitrogen DioxideScotlandSpatio-Temporal AnalysisStatistics as TopicAir PollutantsNitrogen DioxideBayesian model averagingConditional autoregressive modelsNitrogen dioxideSpatial autocorrelation

Identifiers

PMID27494960
PMCPMC4985538

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.