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Claims from observational studies often fail to replicate. A study was undertaken to assess the reliability of cohort studies used in a highly cited meta-analysis of the association between ambient nitrogen dioxide, NO2, and fine…

The US EPA and the WHO claim that PM2.5 is causal of all-cause deaths. Both support and fund research on air quality and health effects. WHO funded a massive systematic review and meta-analyses of air quality and health-effect papers. 1,632…

应用统计 · 统计学 2020-11-03 S. Stanley Young , Warren Kindzierski

False-positive results and bias may be common features of the biomedical literature today, including risk factor-chronic disease research. A study was undertaken to assess the reliability of base studies used in a meta-analysis examining…

应用统计 · 统计学 2020-10-20 Warren B. Kindzierski , S. Stanley Young , Terry G. Meyer , John D. Dunn

The influence of human activity own the earth's atmospheric composition has never been more pronounced. Anthropogenic pollution is in fact the largest effector of the observed evolving atmospheric composition (Wallace, 2006). PM2.5 is a…

大气与海洋物理 · 物理学 2022-12-19 Rickie Xian , Dylan Jones

It is generally acknowledged that claims from observational studies often fail to replicate. An exploratory study was undertaken to assess the reliability of base studies used in meta-analysis of short-term air quality-myocardial infarction…

应用统计 · 统计学 2019-04-04 S. Stanley Young , Warren B. Kindzierski

One way to quantify exposure to air pollution and its constituents in epidemiologic studies is to use an individual's nearest monitor. This strategy results in potential inaccuracy in the actual personal exposure, introducing bias in…

Fine particulate matter (PM2.5) is a mixture of air pollutants that has adverse effects on human health. Understanding the health effects of PM2.5 mixture and its individual species has been a research priority over the past two decades.…

应用统计 · 统计学 2019-09-10 Yawen Guan , Brian J Reich , James A Mulholland , Howard H Chang

Numerous studies have examined the associations between long-term exposure to fine particulate matter (PM2.5) and adverse health outcomes. Recently, many of these studies have begun to employ high-resolution predicted PM2.5 concentrations,…

统计方法学 · 统计学 2022-11-29 Kevin P. Josey , Priyanka deSouza , Xiao Wu , Danielle Braun , Rachel Nethery

In epidemiological studies of air pollution and public health, estimating the health impact of exposure to air pollution may be hindered by the unknown functional form of the exposure-outcome association and by unmeasured confounding…

统计方法学 · 统计学 2026-01-28 Carlo Zaccardi , Pasquale Valentini , Luigi Ippoliti , Alexandra M. Schmidt

Studies have shown that exposure to air pollution, even at low levels, significantly increases mortality. As regulatory actions are becoming prohibitively expensive, robust evidence to guide the development of targeted interventions to…

应用统计 · 统计学 2018-02-20 Kwonsang Lee , Dylan S. Small , Francesca Dominici

Air pollution is a worldwide public health threat that can cause or exacerbate many illnesses, including respiratory disease, cardiovascular disease, and some cancers. However, epidemiological studies and public health decision-making are…

Pollutant emissions from coal-burning power plants have been deemed to adversely impact ambient air quality and public health conditions. Despite the noticeable reduction in emissions and the improvement of air quality since the Clean Air…

统计方法学 · 统计学 2019-01-07 Chanmin Kim , Corwin M Zigler , Michael J Daniels , Christine Choirat , Jason A Roy

Exposure to fine particulate matter ($PM_{2.5}$) poses significant health risks and accurately determining the shape of the relationship between $PM_{2.5}$ and health outcomes has crucial policy ramifications. While various statistical…

应用统计 · 统计学 2023-06-06 Michael Cork , Daniel Mork , Francesca Dominici

Air pollution, especially the particulate matter 2.5 (PM2.5), has become a growing concern in recent years, primarily in urban areas. Being exposed to air pollution is linked to developing numerous health problems, like the aggravation of…

机器学习 · 计算机科学 2025-11-04 Dragoş-Andrei Şerban , Răzvan-Alexandru Smădu , Dumitru-Clementin Cercel

Summary Background Claims made in science papers are coming under increased scrutiny with many claims failing to replicate. Meta-analysis studies that use unreliable observational studies should be in question. We examine the reliability of…

应用统计 · 统计学 2019-02-05 S. Stanley Young , Mithun Kumar Acharjee , Kumer Das

Multi-dimensional meta-analysis (MDMA) is an innovative technique for investigating complex scientific problems influenced by "external" factors, such as social, medical, economic, political or climatic trends. MDMA extends traditional…

综合数学 · 数学 2007-05-23 J. I. Brand , M. S. Hallbeck , S. M. Ryan

Causal inference for air pollution mixtures is an increasingly important issue with appreciable challenges. When the exposure is a multivariate mixture, there are many exposure contrasts that may be of nominal interest for causal effect…

统计方法学 · 统计学 2024-02-01 Joseph Antonelli , Corwin Zigler

Wildland fire smoke contains hazardous levels of fine particulate matter PM2.5, a pollutant shown to adversely effect health. Estimating fire attributable PM2.5 concentrations is key to quantifying the impact on air quality and subsequent…

统计方法学 · 统计学 2020-03-16 Alexandra Larsen , Shu Yang , Brian J. Reich , Ana G. Rappold

According to the Lancet report on the global burden of disease published in October 2020, air pollution is among the five highest risk factors for global health, reducing life expectancy on average by 20 months. This paper describes a…

应用统计 · 统计学 2023-01-18 D K Arvind , S Maiya

Background: Risk ratios or p-values from multiple, independent studies, observational or randomized, can be computationally combined to provide an overall assessment of a research question in meta-analysis. However, an irreproducibility…

应用统计 · 统计学 2021-11-11 S. Stanley Young , Warren Kindzierski
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