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Modified Poisson regression models assessed the association between rate categories (80-<100, 100-120 [Guidelines], >120-140, >140) and outcomes.
In place of the few rigid rate categories, insurers are now employing computer programs to come up with hundreds, if not thousands, of gradations in prices.
Compared to Guidelines, higher rate categories were associated with lower systolic blood pressures (>120-140, p = 0.010; >140, p = 0.077), but not survival.
An example of countries under this condition is Bangladesh, which ranks among the highest in both rate categories.
We considered the two lower rate categories as representing purifying selection and (nearly) neutral evolution respectively, and the two higher rate categories as indicating positive selection.
Five rate categories were specified, including one category to accommodate invariant residues.
Among-site rate variation modeled by a discrete Γ distribution with eight rate categories.
To classify ORFs into different translation rate categories, the Nearest Neighbor Algorithm (NNA) was applied.
We confirmed that the Bayesian approach to setting the rate categories prevents overfitting on small alignments.
The CAT evolutionary model was used in together with a gamma distributed across-site variation (4 discrete rate categories).
Model B is compared to model M3 [35] which is a site model with two discrete rate categories.
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