Sentence examples for binomial regression methods were from inspiring English sources

Negative binomial regression methods were used to estimate the average change over time.

Due to this over-dispersion of data and the fact that the data are discrete, negative binomial regression methods were used to evaluate predictors of health care utilization.

The negative binomial regression method was used to identify factors associated with total inpatient care and the severity level for various types of potentially preventable hospitalisations during the first two years of life.

The associations between respiratory illness and possible associated variables were initially explored by univariate negative binomial regression methods.

Since the negative binomial regression can be regarded as a generalization of Poisson regression and should be used in cases of over-dispersion, we decided to use the negative binomial regression method as the non-conservative method.

Standard descriptive methods, multivariable linear regression, and log binomial regression were used to determine whether there is an association between childhood B-Pbs and school performance.

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

Finally, stepwise logistic binomial regression analyses were done.

Negative binomial regression models were therefore fitted in favour of Poisson regression models.

The negative binomial regression model is a common method used where the Poisson regression model does not explain all the variance.

The residual variance in a negative binomial regression can be estimated using the methods described by Tempelman et al. [ 30].