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Estimation of radiation risk in presence of classical additive and Berkson multiplicative errors in exposure doses

In this paper, the influence of measurement errors in exposure doses in a regression model with binary response is studied. Recently, it has been recognized that uncertainty in exposure dose is characterized by errors of two types: classical additive errors and Berkson multiplicative errors. The com...

詳細記述

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書誌詳細
出版年:Biostatistics
主要な著者: Masiuk, S. V., Shklyar, S. V., Kukush, A. G., Carroll, R. J., Kovgan, L. N., Likhtarov, I. A.
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4915607/
https://ncbi.nlm.nih.gov/pubmed/26795191
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxv052
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