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Radiation Risk Estimation

Sergii Masiuk | Alexander Kukush | Sergiy Shklyar | Mykola Chepurny | Illya Likhtarov
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A01=Alexander Kukush
A01=Illya Likhtarov
A01=Mykola Chepurny
A01=Sergii Masiuk
A01=Sergiy Shklyar
Author_Alexander Kukush
Author_Illya Likhtarov
Author_Mykola Chepurny
Author_Sergii Masiuk
Author_Sergiy Shklyar
Category=PBT
eq_isMigrated=1
eq_nobargain
Strahlenschaden

Product details

  • ISBN 9783110441802
  • Weight: 592g
  • Dimensions: 170 x 240mm
  • Publication Date: 06 Mar 2017
  • Publisher: De Gruyter
  • Publication City/Country: DE
  • Product Form: Hardback
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Description
This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors. The first part covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter estimators. In the second part, risk estimation in models with measurement errors is considered. Efficiency of the methods presented is verified using data from radio-epidemiological studies.

Contents:

Part I - Estimation in regression models with errors in covariates
Measurement error models
Linear models with classical error
Polynomial regression with known variance of classical error
Nonlinear and generalized linear models

Part II Radiation risk estimation under uncertainty in exposure doses
Overview of risk models realized in program package EPICURE
Estimation of radiation risk under classical or Berkson multiplicative error in exposure doses
Radiation risk estimation for persons exposed by radioiodine as a result of the Chornobyl accident
Elements of estimating equations theory
Consistency of efficient methods
Efficient SIMEX method as a combination of the SIMEX method and the corrected score method
Application of regression calibration in the model with additive error in exposure doses

About Alexander Kukush | Illya Likhtarov | Mykola Chepurny | Sergii Masiuk | Sergiy Shklyar

S. Masiuk, A. Kukush, S. Shklyar, M. Chepurny, I. Likhtarov, Radiation Protection Institute, Ukraine.

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