The phrase "analysis model can be" is correct and usable in written English.
You can use it when discussing the potential or capabilities of an analysis model in various contexts, such as data analysis, software development, or research.
Example: "The analysis model can be adjusted to fit different datasets, allowing for more accurate predictions."
Alternatives: "analytical model may be" or "model for analysis could be".
The study findings revealed that due to its flexibility and efficiency, the suitability analysis model can be an effective tool for improving existing air quality monitoring networks and drawing the optimum routes for future expansions in monitoring air quality within urban areas.
We assume that our analysis model can be adapted for connections between other school subjects and professional practices.
The existing recovery methods based on the analysis model can be categorized into bottom-up and top-down methods, respectively.
MARTE profile specification defines that this analysis model can be extended for other domains as well, such as for power consumption.
The above parameters can be obtained by calculating D C. On the basis of formulas (1), (2), and (3), combined as formula (5), the optical image analysis model can be obtained by using the nonlinear concentration of fiber refraction.
Expected-value decision analysis models can be used to supplement more traditional shared decision-making tools (eg, DVDs and booklets describing treatment alternatives) by incorporating the best available evidence-based outcome data with individual patient preferences, as measured from direct preference assessment.
To show how the bivariate random effects meta-analysis model can be used to study the relation between the explanatory variables and the performance of diagnostic tests as characterized by a summary receiver operating characteristic curve (SROCC).
Network meta-analysis models can be extended with treatment-by-covariate interactions in an attempt to adjust for this confounding bias or to explore sources of heterogeneity [ 9- 14].
Given that the log of the virus genotype ratio was used for analysis, this model can be stated as: (2) Here w is the selection rate constant, which in this analysis is a constant factor by which the virus genotype ratio is multiplied in each passage.
To satisfy the above conditions, following Färe et al. [26], a data envelopment analysis (DEA) model can be formulated.
Subjected to its validation in larger study areas and comprehensive water quality analysis, SWQIA model can be considered as a decision support tool for stakeholders in highway projects.
