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In the case of the Cas A XPS, we find our atmosphere models fit significantly better than blackbody models, although a wide range of radii is formally permitted.
The results show that the proposed models fit significantly better than other existing NHPP models based on the studied criteria.
In both cases, selection models fit significantly better the KLK2 and KLK3 data than neutral models (table 3), and eight (18, 67, 69, 109, 177, 205, 210, and 250) and five (45, 189, 203, 238, and 248) codon positions were identified as being positively selected in KLK2 and KLK3, respectively (table 3).
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"Macro", "micro" and "macro micro" models fitted significantly better than the "simple" model.
All three models fitted significantly better than the sporadic model (P<0.0001).
The results show that the proposed logistic fault-detection model fit significantly better than other existing NHPP models based on all three goodness-of-fit criteria.
When estimating weight trajectories, we found that the quadratic model fit significantly better than the linear model (P < 0.0001).
The authors noted that further simplification of the model was not possible because the model fit significantly decreased.
For each gene we used a likelihood ratio test to ask if the two-branch model fit significantly better than the one-branch model.
Analysis of the linear trend in exposure response found the same change point at 15 months, and that model fit significantly better than the corresponding model with no change points (P < 0.001).
Model 2, which added the SNP-GRSS and the 21-kb deletion on 16p12.3 to the base model, fit significantly better [F(3 2335) = 25.3, p = 3.34x−54] and accounted for an additional 3.2% of phenotypic variance (3.1% due to SNP-GRSS, 0.1% due to deletion on 16p12.3) in BMI for a total of 11.5%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com