Sentence examples for binomial variance was used from inspiring English sources

The binomial variance was used to compute the standard error.

Then, negative binomial regression with a robust variance was used to calculate RR and its 95% CI to compare the highest versus the lowest quintile.

Regardless of the magnitude of the RR, the coverage probability of the 95% CI for ESRR using a binomial variance was greater than 99% when the sample size the overall risk was derived from was 1,000 and the sample size the RR was derived from was 5,000 (Table 4).

For the DE analysis, an error model based on the Negative Binomial distribution was used, with variance and mean linked by local regression.

Coverage probabilities for the 95% CIs for ESRR using a log-based variance and binomial variance were not affected by the magnitude of the RR.

Negative binomial regression was used since ALOS had a highly skewed distribution with variance considerably greater than its mean.

When over-dispersion (variance greater than the mean) was detected while modeling the incidence or mortality, a negative binomial distribution was used [ 21] instead of the original Poisson distribution, as a negative binomial distribution has a larger variance than a Poisson distribution.

For count variables, negative binomial regression was used in bivariate and multivariate models after rejecting the hypothesis of equivalence in the mean and variance of the count.

A binomial model was used for the probability of encountering terns, and a negative binomial was used for the number of terns if encountered.

The beta binomial model was used to account for over-dispersion.

Negative binomial distribution was used for curve fitting.