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Format: 1 online resource (270p.)

ISBN: 9783110433661

Series Statement: De Gruyter Series in Mathematics and Life Sciences ; 5

Content: 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

Note: Frontmatter -- , 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 -- , Also of Interest , In English.

Additional Edition: ISBN 978-3-11-043367-8

Additional Edition: ISBN 978-3-11-043347-0

Additional Edition: ISBN 978-3-11-044180-2

Language: English

DOI: 10.1515/9783110433661

URL: https://doi.org/10.1515/9783110433661

URL: https://doi.org/10.1515/9783110433661

UID:

Format: 1 online resource (240 pages).

ISBN: 9783110433661 (e-book)

Series Statement: De Gruyter Series in Mathematics and Life Sciences, Volume 5

Additional Edition: Print version: Radiation risk estimation : based on measurement error models. Berlin, [Germany] ; Boston, [Massachusetts] : De Gruyter, c2017 ISSN 2195-5530 ISBN 9783110441802

Language: English

Keywords: Electronic books.

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