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The reason for modelling on the log cumulative excess hazard scale instead of the log excess hazard scale is because the log cumulative excess hazard is a relatively stable function, and it is easier to capture its shape.
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If the assumptions for etiological inference do not hold, there is no reason for modeling data in order to control for confounding.
The reason for modeling the positive outcome on the logarithmic instead of the original scale is to ensure positive estimation as log of negative numbers does not exist.
The reason for modeling ASD as a variable nonlinear resistor instead of as a simple linear resistor is because of its very small diameter in comparison with other compartments which leads to a nonnegligible nonlinearity.
These considerations are all relevant to Rawls's reasons for "modeling" reasonable agreement on principles among members of a well-ordered society by the original position and the parties' rational agreement behind the veil of ignorance.
There are two reasons for modeling the distribution with N μ, Σ.
The reasons for modeling industrial energy consumption are as varied as the ways in which energy is used in production processes.
The social scientist Joshua Epstein recently compiled a list of 16 other reasons for modeling besides prediction.
We then analyze the reason for model drift during the model update process, and propose a new model updating method under a PF.
Training is the major reason for model over-fitting [ 3].
However, there is no reason for models to have this restriction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com