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Other important 3-D effects which we include in the models are variations in the lithospheric thickness, plate boundaries, slabs, low viscosity wedges, etc.
It is, therefore, important to avoid unnecessarily detailed models by carefully considering what is essential to include in the models and the level of details required for describing the phenomena of interest accurately.
Investigators must therefore select a subset of causal factors to include in the models they test.
In our experiments, we used cross validation [23] to find the optimal number of components to include in the models.
We used likelihood ratio tests to determine which covariates to include in the models including district-level covariates.
Under both spatial approaches, there is uncertainty in the estimates which we could not include in the models because of methodological and software limitations.
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Will default to the model included in the models jar.
Therefore, interaction terms were not included in the models.
CTCS was subsequently included in the models.
Significant interactions were included in the models.
Potential outliers included in the models.
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