Sentence examples for logistic framework from inspiring English sources
In Chiang et al. [7] mode choice decisions are embedded in a larger inventory-theoretic and logistic framework.
The model is an extension of a logistic framework, where a pay-off function has been included to account for the effect of instantaneous worker number on death rates of each species.
Within an overall legal and logistic framework the individual family physicians' practices and work procedures are subject to internal variations.
Simulations showed that RF, BRT and LASSO outperformed the conventional logistic framework to detect independent associations, while the false positive detection rates remained at the nominal significance level (RF, BRT and LASSO-se) or moderately increased above it (LASSO-max).
Of course, interactions need not be limited to two-way interactions, and including higher order interactions in a logistic framework quickly increases the number of parameters to be estimated, hence further reducing efficiency.
Therefore, it is difficult to perform biomedical research using microgravity platforms with the same rigorous logical thoroughness as on ground, and gaps in the logical chain of reasoning often cannot be filled due to limitation of research platforms, both in terms of availability and in terms of the technical and logistic framework.
The variable was evaluated as a categorical variable within a logistic model framework.
In a logistic regression framework, we model the log-odds of disease of the ith individual as where γ1 denotes the effect of the first axis.
Significant (P<0.2, χ test) variables were included in the multivariable model (implemented in a logistic regression framework with SAS statistical software package version 9.3, SAS Institute, Cary, NC).
A propensity score method in the logistic regression framework was used to model the likelihood of receiving AC.
A predictive model was formed in the logistic regression framework using the Bayesian Information Criteria (BIC) to determine a parsimonious subset of variables which were highly predictive of 100-day all-cause mortality.
