Sentence examples for statistical stringency from inspiring English sources

He says climate change scientists should adopt the same level of statistical stringency as exists in medicine.

The advent of genome-wide association studies has brought growing awareness that high levels of statistical stringency, very large sample sizes, and independent replication will be minimum requirements for future genetic studies of personality.

Along this journey by trial and error, we encountered a number of intriguing questions and comments pondering the value of hypothesis-driven research, appropriate sample size, the importance and interpretation of transcripts changes vis-à-vis protein changes, the role of statistical stringency, false discovery and magnitude of expression change, and many other interesting questions.

We believe that this could apply the same statistical stringency to QTL detection using maps of very different densities to make the results directly comparable.

At the same level of statistical stringency, the significant gene lists derived from four different comparisons for either TNT or RDX shared very few common genes (Fig. 2), suggesting different genes may be significantly altered under different conditions.

As expected, in the case of decreased statistical stringency, the following parameters; the number of IPA mapped genes, the number of network eligible genes, and the total number of identified networks, increased steadily with decreasing EV occurrence (Table 1).

This reduces the bias due to preprocessing steps, statistical protocols and stringency of cut-offs.

With moderate stringency statistical thresholds (M-value > 0.5 or < −0.5, p-value < 0.05), 9120 genes were differentially expressed: approximately 65% of the genes in the Drosophila genome.

The statistical methodology and stringency we employed was designed to minimize false positive eQTL from the analysis, however at the probable expense of the lesser significant eQTL which will most likely function in trans [ 22].

In this paper, we used a high stringency statistical approach to identify and characterize 322 ancient non-coding elements (Additional file 2: Table S4) which have remained conserved over large evolutionary distances.

Despite the negative effect of less overlapping DEGs when increasing number of studies, the improved statistical power and augmented stringency further supported the inclusion of more studies over the cost of false negative calls.