Sentence examples for between statistical models and from inspiring English sources
Our approach then exploits the interaction between statistical models and continuous dynamical systems.
Although many other terms have been used – model adequacy, model checking, model validation, model evaluation [3], [5] –, we will use the term goodness-of-fit to refer to this confrontation between statistical model and observed data.
The selection of covariables was based on those variables that altered the estimate for the exposure coefficient between statistical models with and without the potential confounder by >10% or those that have been described previously in the literature as potential risk factors for clinical DSPN.
ANOVA tests used to compare deviance between statistical models controlling for and not controlling for poverty indicated that including this adjustment greatly improved the regression model fit.
Thus, one must differentiate between linear statistical models and linear models that also imply straight-line relationships.
To assess the incremental usefulness of one or all biomarker levels to the clinical information available at ED admission, we performed a head-to-head comparison between statistical models limited to clinical information and models with clinical and biomarker information.
Machine learning is serving a fantastic role as a bridge between mathematical and statistical models and the worlds of AI, computer science, and software engineering.
The analogies between the classic statistical models and the newly developed models are also explored.
Correspondence between the results from empirical statistical models and those from the fitting of dynamical process models has not, as far as we are aware, previously been examined in infectious diseases systems.
Changes from baseline in appraisal and purchasing behavior measures were obtained from these statistical models and compared between EB and enhanced UC groups.
Comparison of cRR (per 10 μg/m rise in wildfire PM2.5) between statistical model adjusted for county-level poverty (used in this study) and an un-adjusted (crude) statistical model.
