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We develop several models with results presented in Table 1 below.
Resuming, preserving the differences, the application of data mining techniques allowed building high accuracy models, with results not lower than the traditional methods found in the literature.
This mechanism has been explored in a number of other cell and tissue models with results that are consistent with our proposal.
Individual study-specific slope estimates were combined into a summary meta-analysis using random-effects models with results expressed as summary regression coefficients and 95% confidence intervals.
We came to the same conclusion in our study comparing estimates yielded by capture-recapture Mth models with results obtained by the "source pooling" method.
All analyses will use appropriate (that is, logistic or linear) regression models, with results presented as point estimates (odds ratios or difference in means), 95% confidence intervals and p values.
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Section 9 provides a comparison of the proposed model with results from a ray-tracing tool.
The comparison of results obtained by using the present model with results of previous investigators indicates a good agreement.
All the multivariate statistics analyses of lithofacies classification and permeability modeling with results visualizations were implemented through R, the most powerful open-source statistical computing language.
The pyrolysis and erosion of the ablator was simulated by implementing a complex finite element model, with results in very good agreement with experimental evidences.
We assayed the model with results extracted from several published clinical trials or meta-analyses.
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