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The phrase "analysis is concerned with" is correct and usable in written English.
It can be used when discussing the focus or scope of a particular analysis in various fields such as research, literature, or data interpretation.
Example: "The analysis is concerned with the impact of climate change on biodiversity in the region."
Alternatives: "analysis focuses on" or "analysis addresses".
Exact(44)
Multivariate analysis is concerned with the interrelationships among several variables.
The hydraulic analysis is concerned with calculating the required pumping power for each configuration.
Plastic limit analysis is concerned with the problem of finding how "strong" a given structure is.
A substantial issue of numerical analysis is concerned with the investigation and estimation of the errors.
This analysis is concerned with the calculation of the wave transmission coefficients of structural joints.
The fitness analysis is concerned with whether the issues sought to be adjudicated are contingent on unknowable future events.
Similar(16)
The reasons for such analysis are concerned with the limitations of the main numerical codes available on the market when dealing with the subject, and the need for the extension of the existing predictive capabilities of deterministic methodologies, when facing with the stochastic pressure distribution over a flat plate.
The performance analysis was concerned with the problem of finding the probability of the test error patterns contained in the decoding list.
The first analysis was concerned with the effects of site and stand variables on the average outerwood density of a stand.
Many of the categories that appeared in the two-way analysis are concerned with activities shared by all cells (e.g., oxidoreductase activity, protein translation, oxygen metabolism).
Other aspects of Rasch analysis are concerned with testing model assumptions (such as local dependency and unidimensionality) and with the investigation of other attributes such as appropriate category response structure (for polytomous items) and for item bias, or differential item functioning (DIF) [ 39].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com