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Upravlenie Bol'shimi Sistemami, 2015, Issue 57, Pages 138–157
(Mi ubs838)
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This article is cited in 3 scientific papers (total in 3 papers)
Control in Medicine, Biology, and Ecology
On identification of morbidity parameters in heterogeneous model: cases of complete and incomplete information
R. V. Ivanova, A. I. Mikhal'skiia, V. K. Ivanovb, S. Yu. Chekinb, M. A. Maksyutovb, V. V. Kashcheevb a V.A. Trapeznikov Institute of Control Sciences of RAS
b A. Tsyb Medical Radiological Research Centre – branch of the National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation
Abstract:
We suggest a methodology to estimate morbidity parameters in a three-state model, which includes the heterogeneity factor modeled with a gamma-distributed random variable. Models with complete and incomplete information are considered and various methods of risk estimation are discussed. We give estimates of morbidity radiation risks in four classes of diseases based on data from the Russian National Radiation Epidemiological Registry. The methodology can be used during the development of radiation protection systems.
Keywords:
Markov chain, random intensity, heterogeneity, gamma distribution, radiation risk.
Received: April 11, 2015 Published: September 30, 2015
Citation:
R. V. Ivanov, A. I. Mikhal'skii, V. K. Ivanov, S. Yu. Chekin, M. A. Maksyutov, V. V. Kashcheev, “On identification of morbidity parameters in heterogeneous model: cases of complete and incomplete information”, UBS, 57 (2015), 138–157; Autom. Remote Control, 78:7 (2017), 1329–1340
Linking options:
https://www.mathnet.ru/eng/ubs838 https://www.mathnet.ru/eng/ubs/v57/p138
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Statistics & downloads: |
Abstract page: | 242 | Full-text PDF : | 56 | References: | 72 |
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