The phrase "analysis considerations" is correct and usable in written English.
It can be used when discussing factors or aspects that need to be taken into account during an analysis process.
Example: "In our research, we must address several analysis considerations to ensure the validity of our findings."
Alternatives: "analytical factors" or "evaluation aspects".
Detailed description of the system analysis considerations, program structure, and user interface principles is given.
Each of these imaging modes has distinct design and analysis considerations that are critical for enabling quantitative measurements.
We tabulate the mean intensity, variability, and reproducibility of each contrast in a region of interest approach, which is essential for prospective study planning and retrospective power analysis considerations.
Originating from this zeitgeist, the challenge to discuss critical issues on terminology, design, methods, and analysis considerations in fear conditioning research is taken up by this work, which involved representatives from fourteen of the major human fear conditioning laboratories in Europe.
From standard power-size analysis considerations it follows that the lowest-variance unbiased estimator has highest power [35].
Nevertheless, in such analysis, considerations other than the BIC should be considered.
Overall's book, with its clear-headed analysis, consideration of a wide range of factors, and thought-provoking proposals will shape the debate for years to come.
Through the use of life cycle analysis, consideration of systemic and technical design factors, Pareto optimality, and intersectional innovation, and conventional as well as nonconventional and vernacular construction materials can be assessed for their potential to achieve sustainable scale.
Neither of the considered methods, has limitation on the input data, evaluation and sensitive analysis consideration.
In addition, as shown by our theoretical analysis, consideration of sequencing error can continue to be important even with high-coverage assemblies, particularly for applications in comparative or population genomics.
In terms of our findings, for researchers undertaking cross-sectional surveys, especially if undertaking multivariate data analysis, consideration could be given to measures that demonstrate good content and construct validity and good internal consistency.
