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

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

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Article ID: iaor20172769
Volume: 78
Issue: 7
Start Page Number: 1329
End Page Number: 1340
Publication Date: Jul 2017
Journal: Automation and Remote Control
Authors: , , , , ,
Keywords: medicine, statistics: general, information, statistics: regression, statistics: distributions, risk
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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