Sentence examples for model in identifying from inspiring English sources

RPA has an advantage over the proportional hazards model in identifying prognostic factors because it makes fewer modeling assumptions and has an established procedure that adapts to missing data through the use of surrogate measures[ 14].

We also perform empirical tests with data from the insurance industry and automobile industry to demonstrate the applications of the proposed model in identifying the leader stage in two-stage DEA.

Moreover, the results obtained confirmed the effectiveness of the SVM-WT model in identifying the most exergy-efficient combustion conditions and the best fuel composition for achieving the most cost-effective and eco-friendly combustion process.

The purpose of this paper is to develop and compare the preferred multinomial logit (MNL) and ordered logit (ORL) model in identifying factors that are important in making an injury severity difference and exploring the impact of such explanatory variables on three different severity levels of vehicle-related crashes at highway-rail grade crossings (HRGCs) in the United States.

Notably, the efficiency of the predictive CSPD model in identifying CP was also confirmed upon analysis of the B. subtilis proteome.

The fact that their model makes such inaccurate predictions of the current distribution in the native range of this species questions the use of their model in identifying potential areas of future invasion.

False positive rates of these models in identifying immature and mature green tomatoes varied from 3%to4040% and 0%to31%1% respectively.

In this narrative review we aimed to assess the usefulness of the different animal models in identifying injury mechanisms and developing therapies for humans suffering from spinal cord injury (SCI).

An Accenture study said "We can not emphasize enough the importance of role models in identifying women with leadership goals.

Lastly, we compared the performance of the e-model in identifying the date of diagnosis to the performance of a simplified claims-based case-finding algorithm that would not require the presence of an EHR.

Our study approves the important role of quantitative dynamic modeling in identifying and studying regulatory mechanisms.