Sentence examples for using powerful statistical techniques from inspiring English sources

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We believe that with readily accessible modern computing power, it is now feasible to estimate and use organism specific empirical matrices for protein sequence analysis using powerful statistical techniques.

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We used RP, an emerging but currently under-used, powerful statistical technique to identify meaningful subgroups of Asian women at high-risk for not following mammogram screening recommendations.

We focused on a high-risk cohort, assessed diabetes risk using robust measures of insulin sensitivity and secretion from the FSIVGTT to estimate β-cell function, controlled for the potential confounding effects of maturation and body composition, and used powerful statistical modeling techniques to account for the variance component across time.

Our experimental program is characterized by a nicely-balanced mix of very technical, cutting-edge hands-on work with detectors and optics, and design of experiments robust to the many subtle systematic effects possible in this work, combined with plenty of data analysis, using the many powerful statistical techniques now common to the field of CMB research.

Direct marketers are developing fancier ways to pull narrower consumer segments from databases, using powerful new statistical techniques.

As with other powerful statistical techniques, the answers one gets depends on the techniques used.

During the last decade, powerful statistical techniques have been developed to analyse exposure variability and its determinants using so-called mixed-effect modelling [ 30- 33, 59].

Powerful statistical techniques to detect siRNAs that potentially enhance treatment are currently lacking, because they do not optimally use the amount of data in the other dimension, the feature dimension.

I will discuss powerful statistical techniques which are intended to enable the optimal analysis of real cosmic microwave background data.

Confirmatory factor analysis represents a powerful statistical technique used to determine whether the number of factors and pattern of item-factor loadings is consistent with what would be expected by a priori theory.

In the study, lead author Noah A. Rosenberg of the University of Southern California and co-author Jonathan K. Pritchard of the University of Chicago applied a powerful statistical technique that uses many independent genes to detect the geographic patterns of ancestry in samples from any species.

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