Improving prevalence estimation through data fusion: methods and validation
Improving prevalence estimation through data fusion: methods and validation
About this item
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Estimation of health prevalences is usually performed with a single survey. Some attempts have been made to integrate more than one source of data. We propose here to validate this approach through data fusion. Data Fusion is the process of integrating two sources of data into one combined file. It allows us to take even greater advantage of existi...
Alternative Titles
Full title
Improving prevalence estimation through data fusion: methods and validation
Authors, Artists and Contributors
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4478714
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4478714
Other Identifiers
ISSN
1472-6947
E-ISSN
1472-6947
DOI
10.1186/s12911-015-0169-z
