ArticleEnvironmental health perspectives2014
Evaluating uncertainty to strengthen epidemiologic data for use in human health risk assessments.
Article in Environmental health perspectives, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systematic update to the mammalian relative potency estimate database and development of best estimate toxic equivalency factors for dioxin-like compounds.Regulatory toxicology and pharmacology : RTP · 2024Pooled it
- Mapping Soil Transmitted Helminths and Schistosomiasis under Uncertainty: A Systematic Review and Critical Appraisal of Evidence.PLoS neglected tropical diseases · 2016Pooled it
- Estimating the Prevalence of Rare Diseases: Long-Chain Fatty Acid Oxidation Disorders as an Illustrative Example.Advances in therapy · 2022Article
- Modelling the impact of MAUP on environmental drivers for Schistosoma japonicum prevalence.Parasites & vectors · 2020Article
- Methods for evaluating variability in human health dose-response characterization.Human and ecological risk assessment : HERA · 2019Article
- A matrix for bridging the epidemiology and risk assessment gap.Global epidemiology · 2019Article
- Uncertainty Analysis of Mobile Phone Use and Its Effect on Cognitive Function: The Application of Monte Carlo Simulation in a Cohort of Australian Primary School Children.International journal of environmental research and public health · 2019Article
- Bayesian network-based framework for exposure-response study design and interpretation.Environmental health : a global access science source · 2019Article
- Modeling Schistosoma japonicum Infection under Pure Specification Bias: Impact of Environmental Drivers of Infection.International journal of environmental research and public health · 2019Article
- Epidemiology: a foundation of environmental decision making.Journal of exposure science & environmental epidemiology · 2018Review
- Radiofrequency Electromagnetic Radiation and Memory Performance: Sources of Uncertainty in Epidemiological Cohort Studies.International journal of environmental research and public health · 2018Review
- Human Health Risk Assessment Applied to Rural Populations Dependent on Unregulated Drinking Water Sources: A Scoping Review.International journal of environmental research and public health · 2017Article
- Anemia risk in relation to lead exposure in lead-related manufacturing.BMC public health · 2017Article
- Causal inference in cumulative risk assessment: The roles of directed acyclic graphs.Environment international · 2017Article
- Toward Greater Implementation of the Exposome Research Paradigm within Environmental Epidemiology.Annual review of public health · 2017Review
- Impacts of geocoding uncertainty on reconstructed PFOA exposures and their epidemiological association with preeclampsia.Environmental research · 2016Article
- Thinking one step ahead: strategies to strengthen epidemiological data for use in risk assessment.Environmental health perspectives · 2014Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is a recognized need to improve the application of epidemiologic data in human health risk assessment especially for understanding and characterizing risks from environmental and occupational exposures. Although there is uncertainty associated with the results of most epidemiologic studies, techniques exist to characterize uncertainty that can be applied to improve weight-of-evidence evaluations and risk characterization efforts.
methodsThis report derives from a Health and Environmental Sciences Institute (HESI) workshop held in Research Triangle Park, North Carolina, to discuss the utility of using epidemiologic data in risk assessments, including the use of advanced analytic methods to address sources of uncertainty. Epidemiologists, toxicologists, and risk assessors from academia, government, and industry convened to discuss uncertainty, exposure assessment, and application of analytic methods to address these challenges. SYNTHESIS: Several recommendations emerged to help improve the utility of epidemiologic data in risk assessment. For example, improved characterization of uncertainty is needed to allow risk assessors to quantitatively assess potential sources of bias. Data are needed to facilitate this quantitative analysis, and interdisciplinary approaches will help ensure that sufficient information is collected for a thorough uncertainty evaluation. Advanced analytic methods and tools such as directed acyclic graphs (DAGs) and Bayesian statistical techniques can provide important insights and support interpretation of epidemiologic data.
conclusionsThe discussions and recommendations from this workshop demonstrate that there are practical steps that the scientific community can adopt to strengthen epidemiologic data for decision making.
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Registered trials
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.