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The statistical significance in the proportions and rate differences was calculated by separately comparing the middle and high groups to the low group.
Differential expression, reported as fold-change, was determined by separately comparing the expression estimates of each pair of duplicate samples to the control samples.
In addition, by separately comparing the frequencies of CD4+Foxp3+ Treg before (day -4) and after (day 14) transfer in each treatment group, we observed a 2-fold increase in Treg frequency in mice that received Treg (P <0.05), whereas in mice that were treated with GC/CTX alone Treg frequencies remained unaffected.
The analysis was also stratified according to the histological diagnosis of controls, by separately comparing the 43 OAMZL cases with the 49 controls diagnosed with a diffuse large B-cell lymphoma (DLBCL), or with the 32 controls diagnosed with a follicular lymphoma (FL; Table 3).
We use the standard way for performance evaluation by separately comparing the results of the computational methods investigated in this study to the ground truth in terms of sensitivity and specificity (more details of performance evaluation are provided in Supplementary Methods).
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Genotypes were evaluated by coding the homozygous common allele as the referent group and separately comparing the heterozygous and homozygous rare allele genotypes to the referent group.
For each pesticide reported by > 30 men [Supplemental Material, Table 3 (doi:10.1289/ehp.1002839)], we assessed the effect of exposure duration by separately comparing less use (at or below the median number of cumulative days of use) or more use (use above the median) with never use of that pesticide.
The results obtained from the automated analysis were validated by separately comparing segmentation and classification with a careful analysis by human experts as a reference.
Firstly, by presenting precision and recall; also by separately comparing its performance to a machine learning de-identification tool – the MITRE Identification Scrubber Toolkit (MIST) – developed by the MITRE Corporation [ 28] to ascertain CRIS' performance relative to this open source algorithm [ 28].
In this paper, different viscosity models and thermal conductivity models for CO2 mixtures with non-condensable impurities were first evaluated separately by comparing the calculated results with experimental data.
We analyzed the three treatment arms separately by comparing the post-treatment values with the values at baseline.
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