Sentence examples for both statistical power and from inspiring English sources

However, large-scale inference sets a high bar for both statistical power and biological interpretability.

Recently, the possibility to use both magnitude and phase image sets for the statistical evaluation of fMRI has been proposed, with the prospective of increasing both statistical power and the spatial specificity.

The efficiency of our analysis of dioxin-altered global gene expression was enhanced by the interactome approach, as the network-based analysis tools were superior to their single-gene analogs in terms of both statistical power and biological interpretability.

These studies were carried out using composite interval mapping (CIM) strategy, however, multiple interval mapping (MIM) [ 33] offers a significant improvement on both statistical power and precision for detecting main and epistatic QTLs over CIM.

Thus, to make our simulation comparison more relevant, our assessment of hypothesis testing methods and RAR procedures is based on the calculation of both statistical power and the comparison to the nominal type I error rate.

To increase the detection capacity of the genetic loci underlying complex traits with QTL mapping, a large population is required to increase both statistical power and recombination events (Ehrenreich et al. 2010; Mackay et al. 2009).

Therefore, researchers plan to utilize this first collection of data as a pilot test to identify underlying components, to verify internal consistency, and will continue collecting data using these instruments to both increase statistical power and inform changes towards the creation of a valid instrument.

An automated system, increasing both the statistical power and the number of different kinds of assays to be tested, will be essential to establishing a paradigm to ask in a rigorous and quantitative way how the brain of various model species handles alterations in somatic and sensory organs, as well as changes in nervous system structure.

In order to detect small effects of air pollution, both high statistical power and sophisticated study design are required.

The main limitation of our study relates to the small sample sizes among subsets of the participants receiving TIV, which reduced both the statistical power and precision.

As we discuss in detail, such an 'isolationist' strategy can compromise both the statistical power and biological insight of the inferred networks.