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Methods for Estimation of Radiation Risk in Epidemiological Studies Accounting for Classical and Berkson Errors in Doses

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Author Info

  • Kukush Alexander

    (Ukraine Radiation Protection Institute)

  • Shklyar Sergiy

    (Ukraine Radiation Protection Institute)

  • Masiuk Sergii

    (Ukraine Radiation Protection Institute)

  • Likhtarov Illya

    (Ukraine Radiation Protection Institute)

  • Kovgan Lina

    (Ukraine Radiation Protection Institute)

  • Carroll Raymond J

    (Texas A&M University)

  • Bouville Andre

    (National Cancer Institute, NIH, DHHS)

Registered author(s):

    Abstract

    With a binary response Y, the dose-response model under consideration is logistic in flavor with pr(Y=1 | D) = R (1+R)-1, R = λ0 + EAR D, where λ0 is the baseline incidence rate and EAR is the excess absolute risk per gray. The calculated thyroid dose of a person i is expressed as Dimes = fiQimes/Mimes. Here, Qimes is the measured content of radioiodine in the thyroid gland of person i at time tmes, Mimes is the estimate of the thyroid mass, and fi is the normalizing multiplier. The Qi and Mi are measured with multiplicative errors ViQ and ViM, so that Qimes = QitrViQ (this is classical measurement error model) and Mitr = MimesViM (this is Berkson measurement error model). Here, Qitr is the true content of radioactivity in the thyroid gland, and Mitr is the true value of the thyroid mass. The error in fi is much smaller than the errors in (Qimes, Mimes) and ignored in the analysis.

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    Bibliographic Info

    Article provided by De Gruyter in its journal The International Journal of Biostatistics.

    Volume (Year): 7 (2011)
    Issue (Month): 1 (February)
    Pages: 1-30

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    Handle: RePEc:bpj:ijbist:v:7:y:2011:i:1:n:15

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    Web page: http://www.degruyter.com

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