Sentence examples for simple statistical power from inspiring English sources

Simple statistical power concerns could explain the lack of precise concordance, but it is also possible that MAB-5 acts redundantly and combinatorially with other transcription factors to influence gene expression.

One possible explanation for this is a simple lack of statistical power.

Our failure to detect an effect of the attentional modulation on responses to cursor perturbations is unlikely to be caused by a simple lack of statistical power.

These shortcomings are due to (i) poor estimates of heritability or selection in the wild, (ii) the ability of selection to act on nonheritable phenotypic variation, (iii) the fact that traits are genetically correlated, (iv) rapidly shifting environments, or (v) because of a simple lack of statistical power (Merilä et al. 2001).

We demonstrated a simple example of increasing statistical power by incorporating replicate experiments under the conditional independence assumption, but additional data sources, as well as prior information, may also be naturally integrated with our methodology.

While this method of pooling the data is simpler and has greater statistical power than the one based on summing the x(M) statistics, the latter method has the advantage of being capable of providing a p-value associated with each scan.

A number of reasons dictated that randomisation by clusters be used rather than simple randomisation, despite the lower statistical power of this method [ 26].

Complex traits may show some degree of dominance at the gene level that may influence the statistical power of simple models, i.e. assuming only additive effects to detect quantitative trait loci (QTL) using the variance component method.

A simple and efficient way to improve statistical power over individual GWASs is meta-analysis of multiple GWASs [ 31- 33].

Because in several cases the same introgression was shared by several lines, such test for the presence of a QTL was expected to have more statistical power than the simple comparison of each single line with B73.

This is the key observation underlying our approach and allows us to propose a very simple method which is also optimal with respect to statistical power, but has the advantage of being simple and easy to interpret.