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Missing data or incomplete sequences did not, however, affect the inferred phylogeny because the dataset in our study provided sufficient information, consistent with previous empirical studies [22], [31], [32].
Because the dataset in this study was derived from an insurance claim database and the data conform to the Health Insurance Portability and Accountability Act of 1996 confidentiality requirements, the study did not require informed consent or institutional review board approval.
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The Institutional Review Board IRBB) of Chi Mei Foundation Hospital approved this study and waived the requirement of informed consent because the datasets in the NHIRD have no identifiable personal information.
There is no fixed taxonomy of OSM data, because many people contribute to the dataset in a joint effort.
However, these results do not exclude a role of TEs in microgeographic adaptation because the dataset analyzed in this work is restricted to TEs identified in a single North American strain and as such is highly biased and incomplete.
Because the dataset used in this study consisted of deidentified information for academic research, the IRB waived the need for informed consent from the enrolled patients.
Because the dataset used in our analysis consisted of shotgun sequences providing a 0.66× coverage, the sequence redundancy in our dataset is limited.
Informed consent of the study participants was not required because the dataset used in this study consists of de-identified secondary data released for research purposes.
The IRB waived the need for informed consents (written and oral) from the patients because the dataset used in this study consists of nationwide, unidentifiable, secondary data released to the public for research.
Because the manual dataset in the NEGATOME database does not contain high-throughput data and describes the unlikely direct physical interactions circumscribed only to mammalian proteins, most of which in this database are Homo sapiens, we selected the manual dataset as the negative set for a gold standard database.
Because the dataset is hierarchically structured, and in order to control for clustering of women within countries, a hierarchical linear model with women (first level) nested within countries (second level) was fitted to the data.
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