ArticleEnvironmental health : a global access science source2021
Quantifying the short-term effects of air pollution on health in the presence of exposure measurement error: a simulation study of multi-pollutant model results.
Article in Environmental health : a global access science source, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Air Pollution and Brain Tumors in Children. A Systematic Review.Current environmental health reports · 2026Pooled it
- The effect of ambient ozone exposure on three types of diabetes: a meta-analysis.Environmental health : a global access science source · 2023Pooled it
- Exposure measurement error in air-pollution epidemiology and its determinants: results from the MELONS study.International journal of epidemiology · 2026Article
- Expert perspectives on exposure-response functions for urban health policy: Lessons from a UBDPolicy workshop.Environmental research · 2026Review
- Investigating the Consequences of Measurement Error of Gradually More Sophisticated Long-Term Personal Exposure Models in Assessing Health Effects: The London Study (MELONS).Research report (Health Effects Institute) · 2025Article
- Association of Maternal PMToxics · 2025Article
- Clearing the Air on Reproductive Health: Unpacking the Impact of PMPaediatric and perinatal epidemiology · 2025Article
- Acute effects of ambient nitrogen dioxide pollution on outpatient visits for neurological diseases in Xinxiang, China.BMC public health · 2024Article
- Comparison of personal exposure to black carbon levels with fixed-site monitoring data and with dispersion modelling and the influence of activity patterns and environment.Journal of exposure science & environmental epidemiology · 2024Article
- Methylated polycyclic aromatic hydrocarbons from household coal use across the life course and risk of lung cancer in a large cohort of 42,420 subjects in Xuanwei, China.Environment international · 2023Article
- Measurement error correction for ambient PMEnvironmental research · 2023Article
- Short term exposure to air pollution and mortality in the US: a double negative control analysis.Environmental health : a global access science source · 2022Article
- The Impact of Exposure Measurement Error on the Estimated Concentration-Response Relationship between Long-Term Exposure toEnvironmental health perspectives · 2022Article
- Invited Perspective: Impact of Exposure Measurement Error on Effect Estimates-An Important and Neglected Problem in Air Pollution Epidemiology.Environmental health perspectives · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundMost epidemiological studies estimate associations without considering exposure measurement error. While some studies have estimated the impact of error in single-exposure models we aimed to quantify the effect of measurement error in multi-exposure models, specifically in time-series analysis of PM
methodsMeasurement error was defined as the difference between ambient concentrations and personal exposure from outdoor sources. Simulation inputs for error magnitude and variability were informed by the literature. Error-free exposures with their consequent health outcome and error-prone exposures of various error types (classical/Berkson) were generated. Bias was quantified as the relative difference in effect estimates of the error-free and error-prone exposures.
resultsMortality effect estimates were generally underestimated with greater bias observed when low ratios of the true exposure variance over the error variance were assumed (27.4% underestimation for NO
conclusionsOur simulation study indicated an underestimation of true independent health effects of multiple exposures due to measurement error. Using error parameter information in future epidemiological studies should provide more accurate concentration-response functions.
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