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Exact(7)
However, the BIC for the Bertalanffy-Richards Type B model was smaller than that of any of the Type C regional models.
Specifically, the prediction error of the model was smaller in the last two windows for real P-waves and provided better discrimination.
On the other hand, the deviance under the spline model was smaller.
The average efficiency score estimated by the DN model was smaller than the average efficiency estimated in previous studies on Japanese municipal hospitals [ 3– 6].
According to the significance level used to detect SNPs in this study, the number of significant SNPs identified with the BVS model was smaller than with the LM model (see Table 1).
In addition, as shown in Table 2 and 3, the standard deviation of the hybrid model was smaller than other models' in most cases, which meant that the hybrid model was more robust and balanced than other models.
Similar(53)
To the limited extent interactions were able to be estimated, their relative contribution to the model was small.
The relative amount of variance explained by the full model was small (6.6%).
However, the goodness of fit of the total model was small (Nagelkerke Pseudo R = 0.102; p = 0.028).
The P value associated with adding both BMI and TBA to the model was small (5.0 × 10−5).
The contribution of other variables in the extended model was small compared to age and prior disability status.
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