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Use of hierarchical models to analyse European trends in congenital anomaly prevalence

Abstract:

Background: Surveillance of congenital anomalies is important to identify potential teratogens. Despite known associations between different anomalies, current surveillance methods examine trends within each subgroup separately. We aimed to evaluate whether hierarchical statistical methods that combine information from several subgroups simultaneously would enhance current surveillance methods using data collected by EUROCAT, a European network of population-based congenital anomaly registrie...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1002/bdra.23515

Authors


Cavadino, A More by this author
Prieto-Merino, D More by this author
Addor, M-C More by this author
Arriola, L More by this author
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Publisher:
Wiley Publisher's website
Journal:
Birth Defects Research Part A: Clinical and Molecular Teratology Journal website
Volume:
106
Issue:
6
Pages:
480–488
Publication date:
2016-06-14
DOI:
EISSN:
1542-0760
ISSN:
1542-0752
URN:
uuid:57545690-34fb-4c68-a302-d97c7d640a5a
Source identifiers:
611576
Local pid:
pubs:611576
Paper number:
6

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