Sentence examples for binomial model was chosen from inspiring English sources

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A random effects negative binomial model was chosen over the random effects Poisson model based on the AIC value.

By Vuong test, zero-inflated negative binomial regression model was not significantly better than negative binomial model (z = 1.14, p = 0.128), thus negative binomial model was chosen.

A negative binomial model showed a better fit to the data than a Poisson model or a generalised Poisson model (based on pseudo-likelihood), so a negative binomial model was chosen.

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As the overdispersion parameter α was significantly different from zero and the Vuong likelihood ratio test revealed that the zero-inflated model was preferred against the standard negative binomial model, a Zero-Inflated Negative Binomial (ZINB) model was chosen, as it accounted both for the excess zeros and for the extra heterogeneity in the outcome [ 21, 22].

The negative binomial regression model was chosen to relax the assumption of mean and variance equality in the Poisson distribution of counts data.

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.

The impact of referral on SPPCS was explored using negative binomial regression modelling (which was chosen over Poisson regression due to overdispersion), with the total number of hospital admissions as the main outcome.

It is precisely because the binomial model is unable to fit overdispersed binomial data that the application of the beta-binomial is necessary.

Negative binomial regression was chosen because some count data were overdispersed (Kim and Kriebel, 2009).

Negative binomial was chosen over Poisson regression following the identification of over-dispersion in the regression models.

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