Sentence examples for binomial regression analyses showed from inspiring English sources

Adjusted results of negative binomial regression analyses showed that having CDI for pneumonia and UTI discharges was associated with approximately 200% increased LOS (Table  3).

Negative binomial regression analyses showed that proactive aggression was predicted by self-centered and disagreeable tendencies, whereas reactive aggression was predicted by the misattribution of blame to others and the self-regulatory aspects of agreeableness and conscientiousness.

CONCLUSION: Regression analyses showed positive correlations between the right frontal and anterior cingulate and depersonalization.

With the use of negative binomial regression analyses, we showed evidence of no treatment effect when inspecting group differences in rates of illness, fever, respiratory complaints, vomiting, or nurse visits/doctor visits, referrals in infants.

The hypotheses were tested using regression analyses shown Tables 4,5 and6.

Univariate and multivariate log binomial regression analyses to identify factors associated with willingness to accept free HIV testing are shown in Table  3.

Thus, the negative binomial regression analyses are performed ten times, once for each variable.

The results of the negative binomial regression analyses are presented in Table 5.

This paper transcends the endogeneity problem by applying multiple negative binomial regression analyses, as explained in the following section.

This possibility must be examined by iterating the negative binomial regression analyses to account for all possible combinations.

To avoid multicollinearity, only initial radius was used in the negative binomial regression analyses since it is the area designated for each response by the agency.