Sentence examples for model using consecutive from inspiring English sources

To achieve these objectives, systematic research activities have been conducted to first develop, test and refine the general conceptual model using consecutive surveys; then, to convert the developed conceptual framework into a practical model; and, finally, to evaluate the effectiveness of the model by means of expert validation.

Results were analyzed using a one-dimensional analytical model that was developed using consecutive reaction differential equations based on first-order kinetics.

Through the approach of using consecutive models and adding independent variables to these, it is possible to assess how the coefficient of determination is changed by increasing the number of independent variables.

We have acquired MDSFR spectra in vivo from tumor, normal tongue tissue, skin and liver in an orthotopic xenograft model for oral cancer in mice using consecutive SFR measurements of two different fiber diameters (0.4 and 0.8 mm).

Theoretical digestion patterns generated using consecutive and simultaneous exponential models, and the fit of a two stage consecutive exponential model (unfolding followed by pepsinolysis) to laboratory data, support unfolding kinetics as playing a critical role in determining the speed at which many proteins digest in SGF.

* Avoid using consecutive numbers or repeating the same number.

The software automatically positions the bone models using three consecutive algorithms: IIPM, DIFDHSAnn and DIFDoNLP.

In the present analysis, we selected a set of preoperative and intraoperative variables statistically to develop a dummy-variable linear-regression model using a sample of 3315 consecutive heart surgery patients, where the size of transfused and not-transfused samples was sufficiently large.

We validated our model using a cohort of patients discharged during the two consecutive years after the derivation cohort.

The models were built by the consecutive exclusion of one variable from each full model using the likelihood ratio test as described by Hosmer and Lemeshow [ 29], refitting and verifying the stability of the model after each deletion.

We analysed data from 4883 consecutive admissions at a tertiary teaching hospital to construct the Early Prediction of Adverse Hospital Outcome for Medical Patients (ALERT) model using logistic regression.