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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 system...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1883868232

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

About this item

Full title

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

Publisher

United States: Public Library of Science

Journal title

PloS one, 2017-04, Vol.12 (4), p.e0174641-e0174641

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

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...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1883868232

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1883868232

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0174641

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