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Full Analysis of Lung Cancer Mortality/Radon Relationship with Simple Nonlinear Concepts
We analyze the relationship between the lung cancer mortality and the indoor radon intensity from the viewpoint of nonlinear mathematics. We conclude that their relationship is governed by the proportionality law where the cumulative lung cancer mortality Y is negatively proportional to the cumulati...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894700/ https://www.ncbi.nlm.nih.gov/pubmed/33642959 http://dx.doi.org/10.1177/1559325820960994 |
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author | Lai, Ralph W. |
author_facet | Lai, Ralph W. |
author_sort | Lai, Ralph W. |
collection | PubMed |
description | We analyze the relationship between the lung cancer mortality and the indoor radon intensity from the viewpoint of nonlinear mathematics. We conclude that their relationship is governed by the proportionality law where the cumulative lung cancer mortality Y is negatively proportional to the cumulative radon intensity X; or specifically, the nonlinear change of nonlinear face value (qYu – qY) is negatively proportional to the nonlinear change of nonlinear face value (X – Xb). The author obtained a set of data from late Professor Cohen on the lung-cancer mortality rate versus indoor radon level collected from 1,597 counties and territory of the USA. We initially presented the data as various primitive elementary graphs; then extended them to the primary graphs, leading graphs, and the proportionality graphs. The article emphasizes the building of a straight-line proportionality relationship for the dose-response data in a log-linear and/or log-log graphs. It demonstrates a straightforward methodology for solving the key upper asymptotes (Yu) for the proportionality equation using the Microsoft Excel via determining the “coefficient of determination”. (Note: q = log, Yu = upper asymptote of Y, Xb = bottom asymptote of X) |
format | Online Article Text |
id | pubmed-7894700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-78947002021-02-26 Full Analysis of Lung Cancer Mortality/Radon Relationship with Simple Nonlinear Concepts Lai, Ralph W. Dose Response Original Article We analyze the relationship between the lung cancer mortality and the indoor radon intensity from the viewpoint of nonlinear mathematics. We conclude that their relationship is governed by the proportionality law where the cumulative lung cancer mortality Y is negatively proportional to the cumulative radon intensity X; or specifically, the nonlinear change of nonlinear face value (qYu – qY) is negatively proportional to the nonlinear change of nonlinear face value (X – Xb). The author obtained a set of data from late Professor Cohen on the lung-cancer mortality rate versus indoor radon level collected from 1,597 counties and territory of the USA. We initially presented the data as various primitive elementary graphs; then extended them to the primary graphs, leading graphs, and the proportionality graphs. The article emphasizes the building of a straight-line proportionality relationship for the dose-response data in a log-linear and/or log-log graphs. It demonstrates a straightforward methodology for solving the key upper asymptotes (Yu) for the proportionality equation using the Microsoft Excel via determining the “coefficient of determination”. (Note: q = log, Yu = upper asymptote of Y, Xb = bottom asymptote of X) SAGE Publications 2021-02-16 /pmc/articles/PMC7894700/ /pubmed/33642959 http://dx.doi.org/10.1177/1559325820960994 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Lai, Ralph W. Full Analysis of Lung Cancer Mortality/Radon Relationship with Simple Nonlinear Concepts |
title | Full Analysis of Lung Cancer Mortality/Radon Relationship with Simple Nonlinear Concepts |
title_full | Full Analysis of Lung Cancer Mortality/Radon Relationship with Simple Nonlinear Concepts |
title_fullStr | Full Analysis of Lung Cancer Mortality/Radon Relationship with Simple Nonlinear Concepts |
title_full_unstemmed | Full Analysis of Lung Cancer Mortality/Radon Relationship with Simple Nonlinear Concepts |
title_short | Full Analysis of Lung Cancer Mortality/Radon Relationship with Simple Nonlinear Concepts |
title_sort | full analysis of lung cancer mortality/radon relationship with simple nonlinear concepts |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894700/ https://www.ncbi.nlm.nih.gov/pubmed/33642959 http://dx.doi.org/10.1177/1559325820960994 |
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