Sentence examples for binomial regression to model from inspiring English sources
We then used negative binomial regression to model the relationship between the number of incidents and the infrastructure characteristics at multiuse trail-road intersections.
Using zero-truncated negative binomial regression to model total residual votes as well as constituency and regional undervotes and overvotes, we find clear evidence that these changes made a major contribution to the extent of residual votes in constituencies within those regions.
We used logistic regression and zero truncated negative binomial regression to model the zero and count processes, respectively.
We used negative binomial regression to model the number of assaults per month in the before and after periods.
Multivariate analyses were then undertaken using a negative binomial regression to model the number of cases diagnosed in each month (outcome).
We used multivariable log-binomial regression to model the association between mean 7-day hemoglobin concentration and hospital mortality.
The likelihood ratio test of alpha = 0 was used to compare the negative binomial regression model to Poisson regression, while the Vuong test was used to compare the zero-inflated negative binomial to the standard negative binomial model [ 29].
We fit a negative binomial regression model to account for statistical overdispersion and to avoid the use of an arbitrary cut-off point for the frequency of ED visits for asthma exacerbation.
Individual patient data from the pooled fingolimod phase 3 trials, FREEDOMS and FREEDOMS II, were used to build binomial regression models to estimate the proportion of patients achieving NEDA status.
We used the prediction sample data to fit negative binomial regression models to obtain parameter coefficients of incidence for the sociodemographic and socioenvironmental factors included in each model.
We built a multivariable log binomial regression model to examine the simultaneous effect of race, sex, insurance, age, and age group on CRS.
