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The models with values of 200 and 300 Ω m show larger differences than that of the model in the case of 100 Ω m.
The variance inflation factor was used to ascertain the degree of multicollinearity within the multiple regression models with values over 10 signifying problematic multicollinearity.
The individual gene signatures of 70G, CSR, and CERBB yield models with values of AIC of 423.142, 436.056, and 448.248, respectively.
The c-statistic was used as a measure of the accuracy of prediction in the final models with values between 0.7 and 0.8 indicating a good fit to the data [ 32].
Following the estimation of λ values, we used likelihood-ratio tests to compare the model where λ assumes its maximum likelihood value against models with values of λ = 0 or 1 [ 57].
The half-activation voltage and fully activated conductance of most models, with values of −80 to −60 mV and ≈0.2 nS/pF, respectively, are in line with the experimental data.
Similar(53)
We searched for the optimal model with values for C of 0.5, 1, 2, 4, 8, and 16.
The Comparative Fit Index (CFI) is an additional comparative index of adjustment to the model, with values closer to 1 expressing better adjustment.
The reported DIC V is convincing that the linear model with values of 603.7 and 630.9 is also the best fit.
Similarly, the reported DIC V supports that the multiple model with values of 636.4 and 791.2 is also the best fit in this case.
We parameterized the model with values taken from the literature (Table 1, Table S1 for literature sources).
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ones with values
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models with others
models with exercises
models with screens
models with parts
models with measurements
models with freckles
models with variables
model with values
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