Sentence examples for binomial regression was utilized from inspiring English sources
Negative binomial regression was utilized to describe how functional status at hospital discharge differed with functional status at ICU admission, the extent of physical therapy received and hospital length of stay.
Log-binomial regression was utilized to determine the relationship between days supply and adherence while controlling for other factors.
A univariate negative binomial regression model was utilized, a variant of a poisson regression allowing for over-dispersion, to test the null hypothesis of no difference in cumulative days of antimicrobial exposure between groups.
Bivariate and multivariate logistic regressions were utilized.
Log binomial regression was used to calculate adjusted PRs.
A negative binomial regression was used due to over dispersion.
Negative binomial regression was used instead of Poisson regression to account for overdispersion in the data.
Negative binomial regression was used instead of Poisson regression because of the over-dispersed data.
Negative binomial regression would be chosen if the p-value of the Vuong test was not significant (p > 0.05) indicating the zero-inflated negative binomial regression was not significantly better than the negative binomial regression.
Negative binomial regression was chosen because some count data were overdispersed (Kim and Kriebel, 2009).
Negative binomial regression was used to analyse the differences in GP visits between the two years.
