Radiation Risk Estimation ：Based on Measurement Error Models ( De Gruyter Series in Mathematics and Life Sciences )

Publication subTitle ：Based on Measurement Error Models

Publication series ：De Gruyter Series in Mathematics and Life Sciences

Author： Masiuk Sergii;Kukush Alexander;Shklyar Sergiy  

Publisher： De Gruyter‎

Publication year： 2017

E-ISBN: 9783110433661

P-ISBN(Paperback): 9783110441802

Subject： TL36 reactor safety control

Keyword： 原子核物理学、高能物理学,放射医学,概率论（几率论、或然率论）,应用数学

Language： ENG

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Description

The De Gruyter Series in Mathematics and Life Sciences is devoted to the publication of monographs in the field. They cover topics and methods in fields of current interest that use mathematical approaches to understand and explain, model and influence phenomena in all areas of life sciences. This includes, among others, theory and application of biological mathematical modeling, complex systems biology, bioinformatics, computational biomodeling stochastic modeling, biostatistics, computational evolutionary biology, comparative genomics, or structural bioinformatics. Also, new types of mathematical problems that arise from biological knowledge shall be covered.

Chapter

List of authors

Editor’s Foreword

Preface

In memoriam Illya Likhtarov (1935–2017)

Contents

List of symbols, abbreviations, units, and terms

Part I. Estimation in regression models with errors in covariates

1. Measurement error models

2. Linear models with classical error

3. Polynomial regression with known variance of classical error

4. Nonlinear and generalized linear models

Part II. Radiation risk estimation under uncertainty in exposure doses

5. Overview of risk models realized in program package EPICURE

6. Estimation of radiation risk under classical or Berkson multiplicative error in exposure doses

7. Radiation risk estimation for persons exposed by radioiodine as a result of the Chornobyl accident

A Elements of estimating equations theory

B. Consistency of efficient methods

C. Efficient SIMEX method as a combination of the SIMEX method and the corrected score method

D. Application of regression calibration in the model with additive error in exposure doses

Bibliography

Index

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