- 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...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted manuscript
- Files:
-
-
(pdf, 723.2kb)
-
- Publisher copy:
- 10.1002/bdra.23515
-
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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
- Copyright holder:
- Wiley
- Copyright date:
- 2016
- Notes:
- © 2016 Wiley Periodicals, Inc. This is the accepted manuscript version of the article. The final version is available online from Wiley at: 10.1002/bdra.23515
Journal article
Use of hierarchical models to analyse European trends in congenital anomaly prevalence
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