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On identification of morbidity parameters in a heterogeneous model: The cases of complete and incomplete information

  • Large Scale Systems Control
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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.

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Authors and Affiliations

  1. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

    R. V. Ivanov & A. I. Mikhalskii

  2. Tsyb Medical Radiological Research Center—Branch of the National Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Obninsk, Russia

    V. K. Ivanov, S. Yu. Chekin, M. A. Maksyutov & V. V. Kashcheev

Authors
  1. R. V. Ivanov
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  2. A. I. Mikhalskii
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  3. V. K. Ivanov
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  4. S. Yu. Chekin
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  5. M. A. Maksyutov
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  6. V. V. Kashcheev
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Corresponding author

Correspondence to R. V. Ivanov.

Additional information

Original Russian Text © R.V. Ivanov, A.I. Mikhalskii, V.K. Ivanov, S.Yu. Chekin, M.A. Maksyutov, V.V. Kashcheev, 2015, published in Upravlenie Bol’shimi Sistemami, 2015, No. 57, pp. 138–157.

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Ivanov, R.V., Mikhalskii, A.I., Ivanov, V.K. et al. On identification of morbidity parameters in a heterogeneous model: The cases of complete and incomplete information. Autom Remote Control 78, 1329–1340 (2017). https://doi.org/10.1134/S0005117917070141

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  • DOI: https://doi.org/10.1134/S0005117917070141

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