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Both data sources contain information on age, sex, principal diagnosis, external cause and LGA of residence for all cases.
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These data sources contain important transactional data and are generally interconnected via a network.
Third, the publicly available data sources contain rich and valuable scientific data and they are also of great interest to commercial companies.
The underlying data sources contain activity data with various result types; the results were unified as best possible to make them comparable across tests (and data sources) irrespective of the original result type.
First, the available different data sources have to be screened for information content of processes, e.g. if data sources contain information on mean values, spatial or temporal variability etc. for the entire catchment or only sub-catchments.
In total, these data sources contain over 250 million records.
6 14 These results suggest that our data sources contain sufficient detail for adjustment for confounding.
However, many biological data sources contain noise and do not contain complete information due to limitations of experiments.
These data sources contain the pooled healthcare experience of enrollees and include records of inpatient services, inpatient admissions, outpatient services, and prescription drug claims.
All three data sources contain information on birth weight, gestational age, smoking habits (beginning in 1999 in Norway) and socio-demographic factors as well as complications during pregnancy, delivery and neonatal period.
In situations where external data sources contain dissimilar information for a variation (e.g. related phenotypes or linked genes) all available information is still indexed and available in the database.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com