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Radiation Risk Estimation: Based on Measurement Error Models: De Gruyter Series in Mathematics and Life Sciences, cartea 5

Autor Sergii Masiuk, Alexander Kukush, Sergiy Shklyar, Mykola Chepurny, Illya Likhtarov
en Limba Engleză Hardback – 14 iul 2016
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

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Specificații

ISBN-13: 9783110441802
ISBN-10: 3110441802
Pagini: 288
Ilustrații: 13 schw.-w. u. 1 farb. Abb., 7 schw.-w. Tab.
Dimensiuni: 170 x 240 mm
Greutate: 0.59 kg
Editura: De Gruyter
Colecția De Gruyter
Seria De Gruyter Series in Mathematics and Life Sciences

Locul publicării:Berlin/Boston

Notă biografică

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