Sentence examples for binomial regression model was from inspiring English sources

First, an unadjusted log binomial regression model was performed by regressing the prevalence of metabolic syndrome on prior service.

Negative binomial regression model was found to be more suitable to identify the variables contributing to road crashes.

Diagnostic tests revealed that a negative binomial regression model was more appropriate than a regular Poisson model or zero-inflated negative binomial modelg.

A negative binomial regression model was fitted to the data using Stata statistical software.

Due to over-dispersed data for monthly malaria cases, a generalized linear negative binomial regression model was developed using the number of monthly malaria cases and climatic parameters.

A generalized linear negative binomial regression model was developed using the number of monthly malaria cases and each of the climatic parameters.

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

The negative binomial regression model is appropriate for count data and is similar to the Poisson regression model except that it can work with over-dispersion in the data.

The negative binomial regression model is suitable for skewed outcome data, and produces coefficients which once exponentiated are interpreted as the relative difference in the AUDIT score for every unit change in the independent variable.

The selection of Poisson or negative binomial regression models was based on the model fit, assessed using a Pearson chi-square test.

Negative binomial regression modeling was used to examine the association between numbers of emergency admissions from each practice in each year, and the practice level data on demographics, patient access and QoF [ 23].