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The binomial method was used to calculate 95% CIs for incidence rates.
A binomial method was used for the analysis with a p-value cutoff of 0.05.
The binomial method was used to estimate exact 95% CI for proportions.
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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.
Log-binomial regression with the COPY method was used [ 23].
The transformation method was used to eliminate the skewness of multivariate binomial processes.
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.
Binomial exact methods were used to calculate 95% confidence intervals (CIs) of the proportions and to test any differences in the proportions observed.
The exact binomial method will be used to calculate the corresponding 95% CIs for prevalence values.
A zero-inflated negative binomial model was used as the estimation method.
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