Sentence examples for binomial regression models seemed from inspiring English sources

Conditional, fixed effects, negative binomial regression models seemed to be the most appropriate for our analysis.

We use survey data and employ negative binomial regression models.

In the empirical analysis, we use panel data and negative binomial regression models with fixed effects.

Prevalence ratios and 95% confidence intervals were estimated with log binomial regression models.

In comparison to regular Poisson regression models, negative binomial regression models have an extra parameter to model the overdispersion.

In multivariate binomial regression models controlling for covariates, the association was attenuated but still present.

Since the standard model to account for overdispersion is the negative binomial [33], we calculated in the present study negative binomial regression models (NBRMs) [34].

§Negative binomial regression models.

All models were negative binomial regression models.

First, we constructed two negative binomial regression models.

The Negative binomial regression models were calculated using function 'nbreg'nbreg