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We first conducted ordinal logit models using the imputed datasets to assess whether contact between teachers and centers was associated with initial academic and social adjustment in first grade.
Finally, we used two batteries of random datasets to assess whether the model is indeed able to reject flux distribution that do not correspond to actual states of P. pastoris cultures.
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We used the celiac disease dataset to assess whether significant trans-eQTLs could be identified (Spearman's rank correlation test P-Value < 1 × 10-12, FDR = 0.05).
To address these issues in a broad sample, we utilized multiple years of a nationally representative dataset to assess whether the practice of performing LP for EONS varied by child, hospital or insurance characteristics for normal-birth weight infants.
Such a dataset allowed us to assess whether any of the populations/lineages sampled deserve to be categorised as an evolutionarily significant unit.
Thus, it is important to validate, or at least cross-reference these datasets to other sources to assess whether they are being used appropriately.
Furthermore, the model developed was compared with an experimental dataset to assess its adequacy and reliability.
Peterson presents examples where models calibrated for one dataset are used to transfer rules to another dataset to assess risk.
These point mutations were compared with a genome-wide collection of high-quality SNPs to assess whether these two datasets of mutational events show similar patterns in terms of distribution and surrounding sequence contexts.
Without experimental verifications it is not possible to assess whether any of the datasets offer a comprehensive view of the T. gondii proteome or which datasets, if any, are more accurate than the others.
Nevertheless, we did attempt to assess whether stratification of Dataset 3 by the median expression signal of miR-510 would correlate with the disease-free survival time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com