Correction of confidence intervals in excess relative risk models using Monte Carlo dosimetry system...
Correction of confidence intervals in excess relative risk models using Monte Carlo dosimetry systems with shared errors
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United States: Public Library of Science
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Language
English
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United States: Public Library of Science
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Contents
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 of their structure. For some important studies, M...
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Full title
Correction of confidence intervals in excess relative risk models using Monte Carlo dosimetry systems with shared errors
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TN_cdi_plos_journals_1883868232
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1883868232
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0174641