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For example, 91% of ischaemic stroke events recorded on either GP or linked mortality data are identified on the GP record compared with 99% of hip fractures.
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Reliable data were identified on clinically important outcomes related to weight and pregnancy by the Delphi survey.
This sampling limitation, however, relates to the concept of saturation in qualitative research which is defined by the threshold reached in data collection when no new information is identified on a specific topic, within a defined subject group.
Two proteins with a DS score higher than a specific cutoff trained on known data are identified as a DSCO pair.
The optimal number of clusters supported by the data was identified based on consensus on three criteria computed, the R2 (proportion of the total variance accounted by the clusters), R2 ratio [R/ 1-R ], and the pseudo-F statistic: Pseudo F = ⌊ R/ 1-R ]1)⌋/⌊(1 - R )/(N - G )⌋ where G = number of clusters and, N = number of cDNAs.
The best model to describe the data was identified based on the Akaike information criterion (AIC).
Genes that were commonly selected between RNA-Seq and GeneChip data were identified based on sequence homology.
Outliers in the data were identified based on the residuals derived from the data of all environments and were removed from further analysis.
The ten most common genes in the genomic data were identified based on read counts, suggesting that genes which are covered by more reads may have more copies in the genome.
Recurrent themes emerging from raw data were identified and summarized on spread sheets.
Recurrent themes and sentences emerging from raw data were identified and summarized on spreadsheets for data management by the research team.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com