Sentence examples for models using generalized from inspiring English sources

Observational data on mean annual ground temperature (MAGT) and active layer thickness (ALT), together with geospatial data, were used to calibrate statistical models using generalized linear models (GLM), generalized additive models (GAM), random forest (RF) and generalized boosted models (GBM).

In this paper we propose to tackle all these models using generalized disjunctive programming to capture the numerical characteristics of each model (in equation form, modular, noisy, etc).

Multivariable logistic regression models using generalized estimating equations approach for risk-adjusted comparison of AF prevalence, in-hospital outcomes, and warfarin use.

Lifetime risk, defined as the proportion of the population who will develop symptomatic hand OA in at least 1 hand by age 85 years, was estimated from models using generalized estimating equations.Overall, the lifetime risk of symptomatic hand OA was 39.8%95%5% confidence interval [95% CI] 34.4-45.3%).

Multivariable logistic regression models using generalized estimating equations were used to assess outcomes.From 2 016 652 stroke patients admitted to Get With The Guidelines-Stroke sites in the United States, 832 SCD and 3328 non-SCD controls with no differences in admission National Institutes of Health Stroke Scale or blood pressure were identified.

Multivariate logistic regression models using generalized estimating equations to account for patients with multiple visits determined predictor variables independently associated with recurrent ED visits for hyperglycemia within 30 days.

All regression models used generalized estimating equations (GEE) with an exchangeable correlation structure to adjust for intra-individual correlation of repeated measures per person, and the Huber-White variance estimator.

Statistical comparisons were completed by general linear model using generalized estimating equations to account for clustering within families; Endotoxin levels were log transformed prior to analysis.

We constructed the RIFs used in the model using generalized oscillator model (GOM) as expanded to crystal size dependence.

The environmental variables were used to build a community distribution model using generalized linear models to predict high and low suitability zones of each community in the EGSL.

Distance decay of amenities and disamenities is captured using multiple distance bands, and hypotheses are tested using a spatial hedonic model using generalized spatial two-stage least-squares estimation.