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Nationwide registry-based study based on merged data from the Norwegian Prescription Database, the Norwegian Population Registry, the Regular General Practitioner Database and the Medical Birth Registry.
We performed a nationwide prospective cohort study based on merged data from the Norwegian Prescription Database (NorPD) [ 25], the Norwegian Hip Fracture Registry [ 26] and the Central Population Registry [ 27].
This cross-sectional study is based on merged data from the Norwegian Prescription Database, 14 the Norwegian Population Registry, 15 the Regular General Practitioner Database, 16 and the Medical Birth Registry Norway.
A logistic model based on merged data from both datasets showed significant effect of educational level in case of ICD-10 depression but no significant effect in case of major depression or anxiety.
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Such an integrated approach, based on merging different data sets, could also create broader and more detailed insight into the nature of the disease than can be achieved using one individual approach.
We also compared two logistic regression models predicting mortality at one year based on the presence of clinical diagnoses present at baseline: (1) A model predicting 1-year mortality based on the 1995 2001 merged data, using ICD-9-CM coding, and (2) a model predicting 1-year mortality based on the 2002 2005 merged data using ICD-10 coding.
Once the pilot interventions are completed, all data will be exported and merged, based on individually assigned study ID numbers, to form an analysable dataset.
Once the study is completed, all data will be exported and merged, based on individually assigned study ID numbers, to form an analyzable dataset.
Taking into account this observation, the data sets with the highest prediction accuracies were merged in different combinations in the hope to improve the overall prognostic power of a signature based on a merged data set.
We use survival prediction based on Cox regression as an assay to measure the added value of merged data sets.
Based on Norwegian administrative data merged with data on mass layoffs identified from bankruptcy court proceedings, Bratsberg et al. (2010a), for example, find that men's risk of claiming permanent disability benefits over the next few years more than doubles in response to a job loss.
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