ArticleDose-response : a publication of International Hormesis Society
Analysis of Indoor Radon Data Using Bayesian, Random Binning, and Maximum Entropy Methods.
Article in Dose-response : a publication of International Hormesis Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Assessment of indoor radon distribution and seasonal variation within the Kpando Municipality of Volta Region, Ghana.PloS one · 2024Article
- Correlative links between natural radiation and life expectancy in the US population.Biogerontology · 2022Article
- The enduring legacy of Marie Curie: impacts of radium in 21st century radiological and medical sciences.International journal of radiation biology · 2022Review
- Designing an Indoor Radon Risk Exposure Indicator (IRREI): An Evaluation Tool for Risk Management and Communication in the IoT Age.International journal of environmental research and public health · 2021Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Three statistical methods: Bayesian, randomized data binning and Maximum Entropy Method (MEM) are described and applied in the analysis of US radon data taken from the US registry. Two confounding factors-elevation of inhabited dwellings, and UVB (ultra-violet B) radiation exposure-were considered to be most correlated with the frequency of lung cancer occurrence. MEM was found to be particularly useful in extracting meaningful results from epidemiology data containing such confounding factors. In model testing, MEM proved to be more effective than the least-squares method (even via Bayesian analysis) or multi-parameter analysis, routinely applied in epidemiology. Our analysis of the available residential radon epidemiology data consistently demonstrates that the relative number of lung cancers decreases with increasing radon concentrations up to about 200 Bq/m
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Registered trials
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