Sentence examples for binomial regression were used from inspiring English sources

Statistical modelling approach by Poisson regression and Negative binomial regression were used to assess the safety performance as occurrence of crashes are random events and to identify the influence of the geometric design variables on the crash frequency.

Standard descriptive methods, multivariable linear regression, and log binomial regression were used to determine whether there is an association between childhood B-Pbs and school performance.

Mann-Whitney tests, Kruskal-Wallis ANOVA and negative binomial regression were used to investigate possible associations between the number of citations and reporting quality.

Descriptive statistics and negative binomial regression were used to compare diabetes hospitalization rates in individuals who resided in ZIP codes containing or abutting hazardous waste sites containing POPs ("POP" sites); ZIP codes containing hazardous waste sites but with wastes other than POPs ("other" sites); and ZIP codes without any identified hazardous waste sites ("clean" sites).

Multivariate binomial regression was used to model the probability of adverse outcomes with respect to the absolute number of antenatal visits, after controlling for potentially confounding factors.

Poisson regression and negative binomial regression are used to quantify the influence of possible contributory factors on the incidence of killed and severe injury (KSI) crashes and slight injury crashes, respectively, while possible interventions by traffic flow are controlled.

Negative binomial regression was used to determine the factors associated with acute respiratory episodes.

Survival analyses were conducted with proportional hazards regression, while negative binomial regression was used to assess educational differences in ED usage and inpatient admissions.

Negative binomial regression was used for the primary analysis.Among 18,144 patients, there were 9,545 total PEP events (56% were first events and 44% subsequent events).

METHODS: Negative binomial regression was used to assess payment rates; generalized estimated equations accounted for multiple observations per person and cost correlation within subjects.

Negative binomial regression was used to calculate the average annual change in agricultural injury rates over time.