Sentence examples for by the data while from inspiring English sources
Overall, our results confirm that the long-dominant entrenchment view of staggered boards is not supported by the data, while indicating that staggered boards could contribute to firm value by preventing inefficient takeovers or serving to bond a firm's commitment to the firm's long-term stakeholders.
It provides for a modelling approach that is driven by an understanding of the dominant processes supported by the data, while avoiding unnecessary details and computational effort.
In that approach each edge in the initial network was statistically tested for being supported by the data, while we were here not able to do so based on the data considered here.
Model with a smaller DIC (Difference ≥ 7 units) is better supported by the data while those with difference of 3 5 units can be weakly distinguished.
VEGFR1 and VEGFR2 are assumed to follow a multiple component mixture model, given the multiple-cell subpopulations observed by the data, while only one population is observed in the nonlabeled cell populations, or autofluorescence datasets.
Assemblies can be improved by minimizing the number of haplotypes supported by the data while maximizing the number with minimal support, and sampling from the many possible consistent haplotypings to infer only robust haplotype regions (see Methods).
This hypothesis was supported by reanalyzing the data while excluding sex-specific genes.
Standard methods choose cluster number by best fitting the data while incurring least model complexity.
Since the asymptotic properties of the chi-square distribution generally do not apply to such data, significance is assessed by 100 permutations of the data while keeping the total number of mutations at each site and within each group (i.e. row and column totals) constant.
On the basis of the Hosmer-Lemeshow statistic, model A provided the best fit to the data, while by the adjusted R statistic, model B had the highest explanatory value.
The PCA technique can effectively characterize the internal structure of high dimension dataset by preserving the variance in the data while transforming the data into low dimension space.
