On identification of morbidity parameters in a heterogeneous model: The cases of complete and incomplete information
- Authors: Ivanov V.K.1, Chekin S.Y.1, Maksyutov M.A.1, Kashcheev V.V.1, Ivanov R.V.2, Mikhalskii A.I.2
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Affiliations:
- Tsyb Medical Radiological Research Center—Branch of the National Medical Research Radiological Center of the Ministry of Health of the Russian Federation
- Trapeznikov Institute of Control Sciences
- Issue: Vol 78, No 7 (2017)
- Pages: 1329-1340
- Section: Large Scale Systems Control
- URL: https://ogarev-online.ru/0005-1179/article/view/150646
- DOI: https://doi.org/10.1134/S0005117917070141
- ID: 150646
Cite item
Abstract
This paper suggests a methodology to estimate morbidity parameters in a three-state model, which includes the heterogeneity factor modeled by a gamma-distributed random variable. The cases of complete and incomplete information are considered and various risk estimation methods 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.
About the authors
V. K. Ivanov
Tsyb Medical Radiological Research Center—Branch of the National Medical Research Radiological Center of the Ministry of Health of the Russian Federation
Email: roivanov@yahoo.com
Russian Federation, Obninsk
S. Yu. Chekin
Tsyb Medical Radiological Research Center—Branch of the National Medical Research Radiological Center of the Ministry of Health of the Russian Federation
Email: roivanov@yahoo.com
Russian Federation, Obninsk
M. A. Maksyutov
Tsyb Medical Radiological Research Center—Branch of the National Medical Research Radiological Center of the Ministry of Health of the Russian Federation
Email: roivanov@yahoo.com
Russian Federation, Obninsk
V. V. Kashcheev
Tsyb Medical Radiological Research Center—Branch of the National Medical Research Radiological Center of the Ministry of Health of the Russian Federation
Email: roivanov@yahoo.com
Russian Federation, Obninsk
R. V. Ivanov
Trapeznikov Institute of Control Sciences
Author for correspondence.
Email: roivanov@yahoo.com
Russian Federation, Moscow
A. I. Mikhalskii
Trapeznikov Institute of Control Sciences
Email: roivanov@yahoo.com
Russian Federation, Moscow
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