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Systematic dose-response of environmental epidemiologic studies: Dose and response pre-analysis.
Bruce Allen1, Kan Shao2, Kevin Hobbie3
1Independent Consultant, Chapel Hill, NC, USA.
Environment International
|June 21, 2020
Summary
This study introduces pre-analysis methods for environmental chemical risk assessment using meta-analysis. It addresses challenges in pooling data from diverse epidemiologic studies, focusing on arsenic exposure.
Area of Science:
- Environmental Epidemiology
- Toxicology
- Biostatistics
Background:
- Meta-analysis is crucial for assessing chemical risks from environmental exposures using epidemiologic data.
- Methodological challenges arise from varied reporting of effect measures and exposure data in studies.
- Pre-analysis steps are essential for preparing summary data for dose-response meta-analysis.
Purpose of the Study:
- To present methods for preparing epidemiologic data for dose-response meta-analysis.
- To address specific issues in pooling exposure data, using arsenic health effects as a case example.
- To enhance the generalizability of meta-analytic approaches for environmental health research.
Main Methods:
- Estimation of mean doses from censored or open-ended exposure intervals.
- Calculation of a common dose metric accounting for inter-individual variability.
- Computation of confounder-adjusted response 'effective counts'.
Main Results:
- Developed methods for handling diverse exposure data reporting in meta-analyses.
- Demonstrated applicability using arsenic-induced health effects studies.
- Provided a framework for robust dose-response meta-analysis of environmental exposures.
Conclusions:
- The presented pre-analysis methods facilitate more accurate dose-response meta-analyses.
- These techniques are applicable to various environmental contaminants and meta-analytic approaches.
- The methods prepare data for advanced modeling, including hierarchical Bayesian models.
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