Sentence examples for binomial regression to test from inspiring English sources
We use negative binomial regression to test and quantify the relationship between insurgency – both Islamist and non-Islamist – and polio.
Genetic association analysis was carried out using zero-inflated negative binomial regression to test for association between SNPs and the maximum number of pain sites across the three time points in participants reporting pain, reported as proportional changes with 95% CIs.
We also used binomial multivariate logistic regression to test whether mortality (a dichotomous-dependent variable) can be predicted based on independent variables: ASA score, age groups, gender, types of anesthesia, and location of fracture.
Using phylogenetic eigenvectors and the methods suggested by Diniz-Filho and colleagues [29] and the later extensions suggested by Desdevises et al. [31] we ran the same binomial logistic regression (phylogenetic eigenvector regression) to test for correlated trait evolution between migratory behavior and roost use while taking phylogenetic inertia into account.
We used logistic or binomial regression models to test hypotheses about the mediating and interaction effects of poverty and payer in predicting binary (survived or not) all-cause colon cancer survival [ 63- 65].
After testing different models, we used negative binomial regression to adjust rural and urban cases.
We used binomial regression to calculate RRs adjusted for possible confounders.
A negative binomial regression was used to test MASK total scores and the majority of MASK subscales.
Log-binomial regression was used to test for a difference in prevalence trend between the two groups.
Multivariable logistic regression and negative binomial regression modeling tested the relation between sex and head injury corollaries, while controlling for contact, setting, and competition level.
Negative binomial regression models were constructed to test associations between generic E. coli (MPN/100 mL) in water from farms and variables.
