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Table 3 also reports on two sub-samples of the Primary Sample and an Alternative Sample.
We created four analytic files for the primary sample and each of the four disease-specific samples (CHF, stroke, DM, and AMI).
To rule out the possibility of acquisition of I223R during culture in rhesus monkey kidney cells, the NA gene of the primary sample and its first passage were sequenced.
In this dataset, 55% of those with ADHD in the Primary Sample and 76% of the Alternative Sample (ADHD but not bipolar) showed a 30% reduction in ADHD symptom severity.
In addition, if numerous questionnaire items are relevant to certain hypotheses, a short version for the primary sample and a long version for the subsample participating in more detailed monitoring may be appropriate.
In models using the summary score for risk adjustment, the CMS-HCC method achieved statistically significant higher levels of discrimination relative to the Charlson and Elixhauser methods for the primary sample and all four disease samples except for the fourth analytic file (IP+OPpre12mo) in DM patients.
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The proposed classifier was able to correctly predict 47 of the 51 primary samples and 58 of the 61 secondary samples.
Unsupervised hierarchical clustering revealed that HSPC-CBF samples segregated with the healthy control samples (Figure S5A), and we did not identify a common signature between primary samples and HSPC-CBF samples.
MF, MH and MK provided primary samples and clinico-pathological data.
GMM, RB and AI carried out primary samples and clinical data collection of RMS patients.
The second component separated PDX models and primary samples and explained 27% of the variance.
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