The phrase "analyses for a large" is not complete and lacks clarity in written English.
It can be used when discussing the need for analyses related to a large dataset, population, or sample, but it requires additional context to be fully understood.
Example: "The project requires analyses for a large group of participants to ensure accurate results."
Alternatives: "analyses for a significant" or "analyses for an extensive".
The inherent variability in the ground motion as well as the difficulty of conducting the analyses for a large number of ground motions renders the selection as the most important factor in the analysis results.
Here, we propose a new method for selecting effective siRNA target sequences on the basis of the self-organizing map (SOM) technique and statistical significance analyses for a large number of effective siRNAs.
This study is aimed at exploring the relationship between psychosocial factors at work as defined by the effort reward imbalance (ERI) model and self-reported health, using alternative formulations of this model, and comparing cross-sectional and prospective analyses for a large occupational cohort of men and women.
We used the PhyloGenie package [ 83] to perform efficient phylogenetic analyses for a large number of genes.
The extensive interview data made it possible to control the analyses for a large set of possible confounders such as smoking, alcohol consumption, and exercising.
Third, we adjusted the analyses for a large number of confounders, but we cannot rule out the possibility of residual confounding.
The objectives of forming this consortium were (i) to pool expertise for selection of both loci and SNPs; (ii) to reduce costs by producing a standardized genotyping platform; and (iii) to facilitate cross cohort meta-analyses for a large set of SNPs in high priority candidate loci.
New methods are required for integrated analyses of a large number of chemical features of drugs against the corresponding genome-wide responses of multiple cell models.
This ranking of scenarios proved rather robust, as in an uncertainty analyses (run for a large range of both weights and scores) the ranking remains the same for most runs.
This, in turn, allows the inclusion of a significant larger number of geological fractures into the model and the implementation of probabilistic block analyses schemes for a large number of stochastic fractures in a model.
However, the analyses controlled for a large number of other demographic and medical factors that might account for the relationship between treatment noncompliance and mortality.
