Sentence examples for model using variables from inspiring English sources

Our objective was to compare three estimation models: (1) the All Information Model, using variables available from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP); (2) the Surgeon Assessment Model, using variables available to surgeons preoperatively, and (3) the Patient-Entered Model, using information that patients know about their own health.

We developed a computer-based simulation model using variables such as case volume and program size to demonstrate the influence of these factors on the likelihood of certifying a set of residents on rare cases.

Factors were added to the model using variables with a p-value <0.1 in the univariate analysis.

A simple predictive model using variables available early in the admission will identify patients to receive intensive interventions to reduce their readmission risk.

We estimated the increase in area under the receiver operator characteristic (ROC) curve starting with the most predictive variables, with the aim of maximising the area under the curve (AUC) without including unnecessary variables, and generated a basic model using variables that were significant in multivariate analysis in both data sets.

A multivariate Cox proportional hazards model using variables associated with RFS in our study indicated that depth of invasion, lymphatic invasion, venous invasion, TNM staging, Lauren classification, and lymph node metastasis (P < 0.05), but not age, gender, or tumor size (P > 0.05), were independent predicted factors for recurrence in gastric cancer.

Plume heights based on a 1D no-wind model using variable values of k are also shown in Fig. 6 as a function of magma discharge rate.

We study the use of the System Optimum (SO) Dynamic Traffic Assignment (DTA) problem to design optimal traffic flow controls for freeway networks as modeled by the Cell Transmission Model, using variable speed limit, ramp metering, and routing.

We did not attempt to reduce the model using variable selection techniques (e.g., stepwise regression) because the omission of insignificant predictors tends to harm predictive accuracy (16).

To measure fundamental value, the model uses variables like ratios of price to earnings and price to cash flow.

Collinearity was assessed, and the model used variables that contributed information that was statistically independent of the other variables in the model.