Sentence examples for binomial regression to clarify from inspiring English sources

We employed the two-level negative binomial regression to clarify the impacts of street segment-level and neighborhood-level built environments on pedestrian crashes around LIHTC complexes.

We used negative binomial regression to analyze survey data for 9974 middle-aged and older respondents to the Health and Retirement Study in the USA.

We conducted a negative binomial regression to determine any differences in the pre-post periods.In our multivariable analysis, there was a statistically significant decrease in hospital admissions.

We used binomial regression to calculate RRs adjusted for possible confounders.

After testing different models, we used negative binomial regression to adjust rural and urban cases.

We used logistic binomial regression to estimate relative risks (RR) and control potential confounders.

Logistic regression was used, instead of binomial regression, to avoid convergence issues when controlling for many confounding variables.

We used logistic regression and zero truncated negative binomial regression to model the zero and count processes, respectively.

We used log binomial regressions to control for any potential confounders.

We used Cox log-binomial regression to estimate predictors of the use of vascular endothelial growth factor (VEGF) antagonists within 1 year after diagnosis.

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].