The phrase "are important for analyses" is correct and usable in written English.
You can use it when discussing the significance of certain factors or elements in the context of data analysis or research.
Example: "The variables we selected are important for analyses that aim to understand consumer behavior."
Alternatives: "are crucial for evaluations" or "are essential for assessments".
It is important for analyses of between-strain competition that pneumococcal carriage be identified with sufficiently high sensitivity.
Both assays were highly robust in that significant differences were distinguished among small cohorts of mice which will be important for analyses within a cohort size that is feasible for studies of cellular and molecular mechanisms involved in remyelination.
This is important for analysing how specific non-Western institutional logics may facilitate or constrain Triple Helix activities.
These analyses are important for comprehensive analyses of abiotic stress responses, especially the final steps of stress signal transduction pathways.
Although recent approaches have been extended to sophisticated realistic networks, most are not designed to address very large-scale weighted graphs, which are important for visual analyses.
Our observations are important for future analyses using aerial and satellite imagery and numerical modeling in the area because the maximum inundation area might be underestimated in the images as a result of the subtle traces of the tsunami inundation, which were difficult to identify in the field.
Thus, the results of genome-wide QTL mapping are important for subsequent analyses of specific genes as well as for selecting DNA markers for breeding purposes.
This was mainly done because only the read starts of this data set are important for subsequent analyses, but also because of the higher error rate which is often displayed by the last bases of sequence reads [ 20].
Rapid and easy-to-use tests delivering clear-cut results are important for laboratories analysing large numbers of samples.
However, these differences are important for health benefits analyses, where results from epidemiological studies on the health effects of pollutants (per unit change in concentration) are used to predict the health impacts of a reduction in pollutant concentrations.
