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We analyzed plant community compositional data originally collected as part of a BIODEPTH project in Switzerland [21].
Survey data were compiled from data originally collected for the purpose of various behavioral studies by retrieving them from systematic records.
This study is a secondary analysis of data originally collected for the purpose of program management.
This study is a secondary analysis of de-identified data originally collected for the purpose of project management.
1– 3 Quality assessment of observational studies is challenging due to their methodological intricacies, frequent use of data originally collected for purposes other than research, and subjective nature of the quality evaluation.
Cross-sectional studies using data originally collected for other purposes are often unable to include data on confounding factors or other variables that affect the relationship between the presumed cause and effect.
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Our work clearly demonstrates how additional important health information (data not originally collected by the study) can be obtained and used for epidemiologic study.
Altogether, our results provide an example of the utility of mathematically-assisted analysis of experimental data, whether or not the data were originally collected within a modeling framework.
In contrast, analysis of routine data constitutes secondary use, since the data were originally collected for the purposes of delivering healthcare and not for the analytical purposes to which they are subsequently put.
As new analytical approaches for assessing microsatellite data quality have emerged since much of these data were originally collected, we screened the dataset for null alleles using MICRO-CHECKER [33].
This potentially impinges on the secondary use of routine data for epidemiology (including spatial epidemiologic studies) where the data were originally collected for other purposes (e.g., health care management or delivery), but consent for their use for medical research is impracticable.
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CEO of Professional Science Editing for Scientists @ prosciediting.com