Correction of confidence intervals in excess relative risk models using Monte Carlo dosimetry systems with shared errors.

Correction of confidence intervals in excess relative risk models using Monte Carlo dosimetry systems with shared errors.

In epidemiological studies, exposures of interest are often measured with uncertainties, which may be independent or correlated. Independent errors can often be characterized relatively easily while correlated measurement errors have shared and hierarchical components that complicate the description...

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Bibliographic Details
Main Authors: Zhuo Zhang, Dale L Preston, Mikhail Sokolnikov, Bruce A Napier, Marina Degteva, Brian Moroz, Vadim Vostrotin, Elena Shiskina, Alan Birchall, Daniel O Stram
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5378348?pdf=render

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http://europepmc.org/articles/PMC5378348?pdf=render

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