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Updated: Jul 8, 2025

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
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Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

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最先进的科学数据和方法需要指导基于地点的努力,以减少空气污染不平等

Julia M Gohlke1,2, Maria H Harris1, Ananya Roy1

  • 1Environmental Defense Fund, Washington, District of Columbia, USA.

Environmental health perspectives
|December 18, 2023
PubMed
概括

环境正义政策旨在减少空气污染差异. 需要改进的方法来更细致地测量和跟踪政策影响,确保公平的健康结果.

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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
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Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
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