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The Linnaeus database allows us to use reliable registry data instead of self-reported data or a selected sample of the resource population when comparing participants and non-participants.
This useful database allows us to delineate pathways controlling glioma progression based on an understanding of miRNA-ceRNA networks.
Exploring this database allows us to perform an age-specific cost analysis using Gamma regression models, especially for the elderly population.
Second, using a large, multi-state administrative database allows us to easily generate reliable estimates of outcomes obviating the need for a large multi-center study and permits examination of care patterns and resource use simultaneously.
The large duration of the database allows us to accurately assess the presence of a tie by using the method introduced by Miritello et al. [17] which splits the observation period in different time windows and uses each of them to characterize and assess tie presence.
The database allows us to assess the research interests of new accounting scholars and the literature sources they draw from.
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Using the combined database allowed us to use information from the midwifery registration as well as the obstetric registration.
In addition, laboratory results are transmitted directly to the database, allowing us to use the local normal range to identify abnormal results, as well as minimising transcription errors.
Additionally, laboratory results are transmitted directly to the database, allowing us to use the local normal range to identify abnormal results.
However, the use of the SEER database allowed us to conduct the largest study, to our knowledge, of MPM black patients.
The exclusive use of data entered into the French healthcare database allowed us to include a large number of ICU stays and to develop a mortality prediction model suitable for benchmarking, without additional data collection.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com