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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">radhyd</journal-id><journal-title-group><journal-title xml:lang="ru">Радиационная гигиена</journal-title><trans-title-group xml:lang="en"><trans-title>Radiatsionnaya Gygiena = Radiation Hygiene</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1998-426X</issn><issn pub-type="epub">2409-9082</issn><publisher><publisher-name>NIIRG</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21514/1998-426X-2017-10-1-65-75</article-id><article-id custom-type="elpub" pub-id-type="custom">radhyd-498</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Научные статьи</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Scientific articles</subject></subj-group></article-categories><title-group><article-title>Роль искажающих факторов в радоновом эпидемиологическом исследовании</article-title><trans-title-group xml:lang="en"><trans-title>The role of confounding factors in a radon epidemiological study</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Онищенко</surname><given-names>А. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Onishchenko</surname><given-names>A. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>научный сотрудник</p></bio><bio xml:lang="en"><p>Researcher</p></bio><email xlink:type="simple">onischenko@ecko.uran.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Жуковский</surname><given-names>М. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Zhukovsky</surname><given-names>M. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>доктор технических наук, профессор, главный научный сотрудник, директор</p></bio><bio xml:lang="en"><p>Doctor of Technical Science, Professor, Director, Chief Researcher</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт промышленной экологии Уральского отделения РАН</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute of Industrial Ecology, Ural Branch of the Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>05</day><month>04</month><year>2017</year></pub-date><volume>10</volume><issue>1</issue><fpage>65</fpage><lpage>75</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Онищенко А.Д., Жуковский М.В., 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder xml:lang="ru">Онищенко А.Д., Жуковский М.В.</copyright-holder><copyright-holder xml:lang="en">Onishchenko A.D., Zhukovsky M.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.radhyg.ru/jour/article/view/498">https://www.radhyg.ru/jour/article/view/498</self-uri><abstract><p>Цель: моделирование масштабного эпидемиологического исследования случай – контроль по выявлению связи между облучением радоном и раком легкого при наличии факторов, искажающих результаты оценки экспозиции по объемной активности радона в жилищах. Материалы и методы: анализ источников неопределенностей, возникающих в ходе эпидемиологических радоновых исследований случай – контроль. Оценка численных значений неопределенностей, обусловленных погрешностями средств измерений, долговременными вариациями объемной активности радона, облучением радоном в иных местах пребывания человека, кроме жилища, и др. Моделирование методом Монте-Карло радонового эпидемиологического исследования, сопоставимого по численности с объединенным европейским радоновым исследованием, и оценка влияния неопределенностей на оценку зависимости доза – эффект. Результаты: показано, что мультипликативная погрешность при оценке индивидуальной экспозиции по объемной активности радона в основном обусловлена совокупным влиянием  долговременных вариаций объемной активности радона и различиями в уровнях радона в жилищах и остальных местах пребывания человека и имеет значение логарифмического стандартного отклонения σerr от 0,70 до 0,90. Оцененное значение погрешности в 2 раза выше, чем величина, использованная для коррекции результатов объединенного европейского радонового исследования.Показано, что для значений σerr&lt;0,9 метод регрессионной калибровки позволяет полностью скорректировать влияние неопределенностей при правильной оценке погрешности. Выводы: ошибка в определении погрешности экспозиции по объемной активности радона в объединенном европейском радоновом исследовании случай – контроль привела к занижению значения относительного риска рака легкого в 1,5 раза.</p></abstract><trans-abstract xml:lang="en"><p>Objective: A simulation of a large-scale epidemiological case-control study to identify the relationship between exposure to radon and lung cancer in the presence of factors that distort the results of the assessment of exposure to radon in homes. Materials and Methods: Analysis of sources of uncertainties arising during radon epidemiologic case-control studies. Evaluation of the uncertainties caused by the errors of the measurements of the long-term variations in the radon concentration, exposure to radon in other places of the human habitat, except dwellings, etc. Simulation by Monte Carlo technique of radon epidemiologic study, comparable to the combined European radon study, and assessment of uncertainties, which affect the evaluation of dose-effect dependence. Results: The multiplicative error in the assessment of individual exposure based on the radon concentration is shown generally caused by the combined effect of long-term variations of the radon concentration and the differences in the levels of the radon concentration in living houses and other places of the human habitat. The logarithmic standard deviation of this errors σerr is from 0,70 to 0,90. The estimated value of this error is 2,0 times higher than the value used for correction of the results of the combined European radon study. It is shown that for the σerr &lt;0,9 regression calibration technique, there is a possibility to make a full correction of uncertainty. Conclusion: Errors in the assessment of uncertainties of the radon exposure based on the radon concentration in the combine European radon case-control study has led to an underestimation of the relative risk of lung cancer incidence at least with a factor of 1,5.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>радон</kwd><kwd>рак легкого</kwd><kwd>исследования случай – контроль</kwd><kwd>погрешности</kwd><kwd>моделирование</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Radon</kwd><kwd>lung cancer</kwd><kwd>case-control studies</kwd><kwd>uncertainties</kwd><kwd>modeling</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">UNSCEAR, 2009. United Scientific Committee on the Effects of Atomic radiation (UNSCEAR). 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