Sentence examples for binomial regression method was from inspiring English sources

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.

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.

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.

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

Log-binomial regression with the COPY method was used [ 23].

We then used negative binomial regression, which was a better fit with our data.

Binomial regression analysis was performed across the entire study group.

If the assumption for Poisson regression was not met, the negative binomial regression procedure was applied.

Logistic regression model or binomial regression model was used to estimate the relative risk (RR) directly.

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.