Sentence examples for binomial distribution to calculate from inspiring English sources

We used MATLAB v7.3 to fit deterministic epidemic curves and for Monte Carlo Markov Chain (MCMC) simulations to estimate parameter distributions; we used the negative binomial distribution to calculate each likelihood [18].

Using the binomial distribution to calculate the probability of finding 7 or more confirmed patterns of regulation out of 8 (assuming a 0.5 probability for success in each trial), we observed a successful validation with a p-value of 0.035.

We calculated the percentage of women with an identified risk factor and used the binomial distribution to calculate 95% confidence intervals for these prevalence's.

We calculated the performance characteristics, including positive predictive value (PPV), negative predictive value (NPV), sensitivity (Se) and specificity (Sp), to compare the effectiveness algorithm to the effectiveness gold standard, and we used the binomial distribution to calculate 95% confidence intervals.

We used binomial distribution to calculate a sample size of 720 children less than 6 years of age, based on the assumption only 40% of target age children would be eligible for at least one vaccine and to ensure 90% probability of identifying the target of 267 eligible children.

We also performed a two-sample, one-sided prospective power analysis (exact binomial distribution) to calculate the sample size required for each treatment group in a pairwise comparison to observe an increase in 4-week survival outcome from 10% (single modality) to 65% (combination modality).

We used binomial distributions to calculate the joint probabilities of detecting a b transcript given that 28 clones were obtained from 1 5 sampled workers from single source colonies containing different proportions of BB and Bb workers.

In contrast with other methods, EXPLoRA models the relationship between a genomic variant and the phenotype of interest as a hidden state and use beta-binomial distributions to calculate emission probabilities of the observed data.

In some cases, protein sequences have been modeled as a Poisson [ 36] or a binomial [ 37] distribution to calculate the probability of occurrence of glutamine and asparagine in a peptide, and its statistical significance.

This method is the same as that reported in our previous work [ 17], except that the binomial distribution is used to calculate p-values rather than the Poisson distribution.

The binomial distribution was used to calculate if there was a significant difference in gender distribution.