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The explanatory and predictive power of the estimated models is relatively high.
The estimated models were then used to define the feasible working region.
Even so, little is known about quality properties for structured estimated models of cascade systems.
The model parameters of the estimated models.
Table 4 summarises the important statistics of the estimated models.
But the findings from these estimated models are only as reliable as the assumptions that they are based on.
STUDY DESIGN: We estimated models of patient treatment, costs, and outcomes using ordinary least squares and logistic regression.
The overall accuracy on holdout sample also constitutes diagnostic test for the estimated models.
In general, the diverse estimated models present different decompositions of trend and cycle.
Table 4 shows the simple correlations between these methods and the estimated models.
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Panel-A of Table 12 shows predictive accuracy of re-estimated models is higher than original model on estimation sample.
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