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In this way, we used the first model for exploratory purposes and the second model for biological interpretation including the investigation of relationships between gene and protein expression [ 46].
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A key idea shared among these is the use of models for exploratory rather than predictive purposes.
CART models may be preferred over BRT models for exploratory analysis of missing data, and selecting variables important for predicting missingness.
In brief, step-wise modeling for exploratory analyses combined the SABRE VOIs for each of the four major lobes (frontal, parietal, temporal, and occipital) which yielded reasonable associations for our VOIs.
Visualization functionality for model performance and for exploratory analyses of the data is provided.
Although timing and reasoning of GCSF use were incomplete, its potential impact on the variables included in the final model was assessed for exploratory analysis.
The final regression model was used for exploratory analysis of effect modification, by inclusion of cross-product terms for testing of specific effect modification hypotheses, one at a time.
Because the CART approach does not make assumptions regarding the distribution of the dependent variable, it can be used in situations where other multivariate modeling techniques often used for exploratory predictive risk modeling would not be appropriate – namely in situations where data are not normally distributed.
The development of novel form-active hybrid structures (FAHS) is impeded by a lack of modelling tools that allow for exploratory topology modelling of shaped assemblies.
On the one hand, the model can be used for exploratory "BOE" data analysis.
This method will be used for exploratory model building and will be cross-validated by then randomly splitting the data.
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