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Because of the differences in the questionnaires used in the two datasets, matching variables that can be used in the actual analysis were limited.
The utility of the solution model is demonstrated by generating ground motion datasets matching the Eurocode-8 design spectra for different soil types out of an extensive database of recorded motions.
Datasets matching this criteria show a distribution of genes that appears visually similar to that in the human lymphoblastoid cells used to train the classifier.
Using auxiliary information in the linkage increased the match rate by 11% for stage 3, with just over 90% of links between the PIAC cohort and RCCP datasets matching exactly on SLK-581.
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As shown in Figure 6 (upper panel), MFH samples from the NCI and Stanford datasets matched their predicted subtypes from the MSKCC and Japan datasets despite their many technical differences.
Due to the technological difference in experimental design between Affymetrix (intensity) and Agilent 2-color (ratio) platforms, three analysis configurations (ACs 1-3, inlustrated in Figure S1) were designed to ensure that both datasets matched in comparison.
Address matching is based upon accuracy of the datasets matched on spelling between the address dataset and the geocoding service.
Before reapplying the analyses to real-life datasets, we investigate how close conditions in real-life datasets match those of toy datasets.
However, both ICD-9 and ICD-10 datasets matched poorly to the chart review data for pulmonary edema, cardiac dysrhythmias, and cerebrovascular disease.
From these BLAST results, we found that the three dry stigma-specific/preferential datasets match each other well, suggesting conserved mechanisms across monocots and dicots.
Over 90% of the surgery dates in both the individual and combined administrative datasets matched the dates in the Cancer Registry exactly (not shown in the tables).
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