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Since the differences in error between models were not statistically significant, the simplest model we considered, KLM model, was sufficient to predict the mechanical response of this family of hydrogels.
This reduced data set contained fewer populations (181 measurements from 504 populations), but ensured that differences in βR, F and P between models were not artifacts of incomplete data.
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Note that if the median between models is not different at the 5% significance level, their notched intervals will overlap.
The tissue and subfractional differences in synthesis rates between models may further suggest that the mechanism(s) for increased proteostasis between models is not universally shared but rather distinct for a given subcellular protein pool, tissue, and/or model (Table S1) (Miller et al., 2012a, b, 2014; Drake et al., 2013, 2014).
On the other hand, the differences between the models were not very large, and the results of only one case cannot be generalized.
Differences of less than 3 to 5 between the models were not considered significant [ 22].
However, the differences between the four models were not statistically significant.
As a result, a majority of the task force thought that the internal discrepancies between different groups of models were not sufficient to reject any of the models.
The substitution and clock models were not linked between the partitions.
Historical demographic tests for igneus (A and B) and coccineus did not yield robust results because the likelihood values between the constant and expansion growth models were not well-differentiated (Table 4).
Investigating whether a specific model is flawed, however, is no trivial matter, and self-consistency between some models was not always thought sufficient to exclude candidate models that are well documented and based on solid but different scientific choices.
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