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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.
Six of the eight variables were significantly different at the 0.05 level which supports conducting separate negative binomial regression analyses by crime type.
Similar(24)
Multivariate negative-binomial regression analyses were used to identify risk factors for the number of presentations to hospital.
The results from logistic regression models were similar in direction, showing, as expected, larger odds ratios than the relative risks derived from the log-binomial regression analyses.
Log-binomial regression analyses for associations with early-onset fibroids were repeated in the 10 imputation data sets as previously described, and regression estimates were combined using PROC MIANALYZE in SAS (version 9.2; SAS Institute Inc).
Log-binomial regression analyses, in which we adjusted for specimen characteristics and hormonally active medications, revealed that total maternal PCB concentration was associated with a reduction in male births (p = 0.02).
In this case, the log-binomial regression analyses were performed with statistical significance checked on the basis of p-value of ≤ 0.05 at 95% confidence intervals (CI) for the corresponding prevalence ratios (PRs).
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