Sentence examples for by a binomial model from inspiring English sources

As a result, the observed variance exceeds what is predicted by a binomial model that affects the CNV calls.

As described for Cox regression, the prevalence ratio is directly estimated by the model, and the confidence intervals are wider than those provided by a binomial model.

We assessed the possible effect of multiple testing under a binomial model by counting the number of significant findings (p<0.05) among the 62 linear or quadratic tests performed for each outcome, compared to 3.1 tests (95% confidence interval 0 to 6.5) expected to achieve p<0.05 under the null hypothesis.

Binomial models, by contrast, are simpler mathematically, and you can tinker with a binomial model until it closely reflects the project you wish to value.

We treated genomes as independent, so that gene family presence/absence can be described by a binomial mixture model.

We assume that an individual receives n bites, where the size of each sporozoite inoculum, Si (such that the total initial inoculum S0 = Σ Si), is sampled from a negative binomial distribution obtained by fitting a negative binomial model to counts of parasites inoculated per-bite by anopheline mosquitoes.

We computed 95% CIs for reproduction numbers by using a negative binomial model accounting for the extra correlation from data clustered by community.

The economic value estimated, by employing a negative binomial model with endogenous stratification, for trips taken to the event during 2014 amounted to ZAR2308 (US$201) per person per trip.

If it is assumed that that all infectious mosquitoes are equally infectious, this can be estimated by fitting a chain binomial model (33).

Similarly, for each gene, rDiff.parametric [ 29] first identifies genomic regions that are not common to all isoforms in the gene and uses the counts of the alignments in those regions to test for differential isoform usage by a negative-binomial model.

Again results show that the binomial model predicts a smaller variance than what is observed in the field (FIV prevalence data in males show around 73% more variance than what is expected by the binomial model), whereas the dynamic model shows an overestimated variance compared to what is estimated from data (but only around 42% larger).