Sentence examples for modeling analyses are from inspiring English sources

Hypothesis testing (resulting from the structural equation modeling analyses) are summarized in Table  8, in which the standardized path coefficients and t-values are shown.

In this review, modeling analyses are explored in these three approaches defined as: Traditional "top-down" PK/PD modeling and simulation (M&S) that utilizes empirical or descriptive models to describe the linkage between drug concentration and observed response, such as change in functional or structural CV biomarkers.

Both theoretical and FEM(Finite Element Modeling) analyses are conducted to optimize the design and verify the scheme whose results show that the measuring range, resolution and sensitivity of the sensor are ±160 g, 5 mg, and 110 mV/g, respectively.

Sample size determination based on power calculations was conducted for the larger longitudinal study for which latent growth modeling analyses are eventually planned, and thus our original target for recruitment was 800 young people, of whom we were able to recruit 714.

The results of the modeling analyses were evaluated by comparing pool dissolution fluxes from the literature to each other and to the corresponding LE and NE model predictions.

Few modeling analyses have been carried out, indicating a need for further research to understand the specifics of medical nutrition and their applicability in health economic modeling.

Only a few modeling analyses have been carried out, indicating a need for further research to understand the specifics of medical nutrition and their applicability for health economic modeling.

Further modeling and experimental analyses are needed to verify the effectiveness and feasibility of design, installation, and operation of heat management systems in MSW landfills.

In particular, modeling for kinetostatic and dynamic analyses are proposed and discussed.

In the modeling part, static and dynamic analyses are conducted to investigate the characteristics of the worm-gear.

Further, because they do not involve spatial modeling, typical land-use regression analyses are only applicable for small regions (across a city or metropolitan area), whereas our model is applicable to much larger areas (i.e., the entire northeastern and midwestern United States).