Limit this search to....

Radiation Risk Estimation: Based on Measurement Error Models
Contributor(s): Masiuk, Sergii (Author), Kukush, Alexander (Author), Shklyar, Sergiy (Author)
ISBN: 3110441802     ISBN-13: 9783110441802
Publisher: de Gruyter
OUR PRICE:   $173.84  
Product Type: Hardcover - Other Formats
Published: March 2017
Qty:
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
- Medical | Radiology, Radiotherapy & Nuclear Medicine
- Science | Physics - Nuclear
Dewey: 363.179
LCCN: 2016042708
Series: de Gruyter Mathematics and Life Sciences
Physical Information: 0.63" H x 6.69" W x 9.61" (1.39 lbs) 270 pages
 
Descriptions, Reviews, Etc.
Publisher 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 covariatesMeasurement error modelsLinear models with classical errorPolynomial regression with known variance of classical errorNonlinear and generalized linear models Part II Radiation risk estimation under uncertainty in exposure dosesOverview of risk models realized in program package EPICUREEstimation of radiation risk under classical or Berkson multiplicative error in exposure dosesRadiation risk estimation for persons exposed by radioiodine as a result of the Chornobyl accidentElements of estimating equations theoryConsistency of efficient methodsEfficient SIMEX method as a combination of the SIMEX method and the corrected score methodApplication of regression calibration in the model with additive error in exposure doses

Contributor Bio(s): Masiuk, Sergii: - S. Masiuk, A. Kukush, S. Shklyar, M. Chepurny, I. Likhtarov, Radiation Protection Institute, Ukraine.