Sentence examples for by statistical power of from inspiring English sources

A sample size of 23 was justified by statistical power of 0.96 calculated based on an effect size of 0.5.

We have carried out post hoc power analyses on selected published data to illustrate that claims of low-dose effects (or their absence) are often compromised by insufficient statistical power of the chosen experimental design.

Probably, a more specific statement will be needed in order to determine what "important adverse (or unexpected) effects of an intervention" mean for the statement: whether it be statistical significance (which is influenced by the statistical power of the RCTs to detect harm), or clinical importance (which entails a more difficult definition).

Class comparison was performed using parametric unpaired Student's t test or 3-way ANOVA to identify differentially expressed genes among GLV-1h68 infected and uninfected tumors or cells at various time points using different significance cutoff levels as demanded by the statistical power of each test.

This apparent contradiction may be explained by the lower statistical power of these statistics compared to mismatch distributions to detect spatial expansions when local demes exchange only few migrants (low Nm, which seems to be the case for M. murinus) as demonstrated theoretically [ 29] and empirically in the eastern tiger salamander [ 30].

The two main directions were: broadening the discovery of genetic risk factors by increasing the statistical power of GWAS (for example, by extensive meta-analysis); and the study of interactions between genes, and between genes and the environment.

The difference might be explained by a lower statistical power of the vertebrate analysis caused by a putative smaller number of substitutions.

To be considered for publication, any candidate gene study must be well powered and make corrections in statistical inference for multiple testing and any new finding must be accompanied by a replication.21 Thus, when searching for a plausible genetic instrument by reviewing the literature, researchers should also justify their choice by considering the statistical power of the study.

Therefore, we believe that the lack of association cannot merely be explained by an insufficient statistical power of these studies.

T2D association of single SNPs is analyzed by measuring the statistical power of individual markers.

These could only be revealed by the increased statistical power of pooling data across subjects.