Sentence examples for modeling strategy to from inspiring English sources

We used the following modeling strategy to adjust for potential confounders: in model 1 we adjusted for sex, family history of diabetes (2 categories), smoking status (3 categories), educational level (4 categories), physical activity level (4 categories), and δC (for δN analyses) or δN (for δC analyses).

d) Normal mixed effects model (NMM), for arcsinh-transformed outcome "attack frequency" as an alternative modeling strategy to accomplish stabilization of variance.

Accuracy-solvability trade-offs are explored and recommendations are made on the modeling strategy to use to get better SCN designs.

With such an alteration the spray-particulate dynamics can become non-intuitive thereby motivatinon-intuitive thereby motivatingtrategy to physicallypray-gun operations and translate this into the actual spray deposition on the target surface.

Starting from a series of our new 2-phenylbenzimidazole derivatives, shown to be selectively and potently active against the bovine viral diarrhea virus (BVDV), we developed a hierarchical combined experimental/molecular modeling strategy to explore the drug leads for the BVDV RNA-dependent RNA-polymerase.

Starting from a series of arylazoenamine derivatives, shown to be selectively and potently active against the bovine viral diarrhea virus (BVDV), we developed a hierarchical combined experimental/molecular modeling strategy to explore the drug leads for the BVDV RNA-dependent RNA polymerase.

A comparison between the prediction and the back-calculated parameters confirms the importance of engineering judgment as well as the sensitivity of the modeling strategies to the input information.

A detailed appreciation of the immunopathology of asthma, along with the explosion in molecular immunology has prescribed the modeling strategies to recapitulate the asthmatic phenotype, particularly in mice.

We devised a unique v-shaped structure and modeling strategies to solve natural language representation problems.

Although we recommend the use of complex modeling strategies to estimate exposures whenever possible, simple traffic density might often be the only measure feasible to ascertain exposures in the large populations needed for childhood cancer studies.

Then, we use mathematical modeling strategies to further analyze the different alternative and identify the most reliable network structure, based on comparing the dynamic behavior of the models to experimental observations.