Sentence examples for binomial regression analyses revealed from inspiring English sources

Negative binomial regression analyses revealed that subjects who had a dental visit within 3 years had significantly higher DMFT scores (IRR = 1.68, p < 0.001).

Multiple regression analyses revealed even higher correlations when compared to simple regression.

Multivariable regression analyses revealed that depression is an independent predictor of RLS.

Logistic regression analyses revealed a significant moderating effect of exercise.

Hierarchical regression analyses revealed the following results.

Logistic regression analyses revealed no significant combined effects.

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.