Sentence examples for bias in the number of from inspiring English sources
In addition, we explain that the misspecification of the probability model can lead to a bias in the number of change points and using a simple example, show that this problem is difficult to avoid by technical data transformation.
Figure 12 Description of the bias in the number of tweets and users, per country.
Previous studies have described significant bias in the number of reads generated from regions with differing GC-content [14].
No significant bias in the number of up or down regulated genes was observed among the 79 and 52 genes that reproducibly changed in three lines at the S0∶1 and S5∶6 generations, respectively.
If a given STEP-intron case had evidence of the spliced form as well as a bias in the number of STEP alleles relative to population allele frequency in the intron sequence it was shortlisted as a putative STEP (Table 3).
Although we found no bias in the number of dives for or against sites with sharks (Fig 2), if there was a spatial sampling bias it should be towards sites with sharks and other abundant large fish because of their appeal to recreational divers [18], [32], [48].
Differential access to these may contribute to the observed biases in the number of grants won against women and non-white groups.
The Fisher's alpha diversity index was used because species richness per se usually increases with increasing number of individuals, whereas the Fisher's alpha diversity index is a robust species richness estimate that is not influenced by biases in the number of individuals (Maurer and McGill [2011]).
Because all permutation tests were performed within organs, this analysis is not prone to biases in the number of reads per organ (see above and Results and Discussion).
In order to circumvent these biases in the number of proteins that are present in the PPI network and also in the number of interactions per protein in the PPI network, the PIE procedure is presented as depicted in Figure 2. PIE measures the physical cohesiveness of interacting proteins via the strict randomization procedure described in detail below.
Quantitative cases (cases where both sexes were present, but there was a significant bias in the numbers of one sex) were also analyzed for statistical significance using a binomial distribution test.
