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Finally, stepwise logistic binomial regression analyses were done.
Results from the negative binomial regression analyses were expressed as coefficient β.
Negative binomial regression analyses were used to determine the percentage change in rate [ 21].
In addition, separate negative binomial regression analyses were performed for possible interaction effects among cognitive distortions and personality traits.
In order to analyze these rate data, negative binomial regression analyses were conducted (Agresti 2002). 2 Results were expressed as odds ratios.
Descriptive analyses and binary logistic analyses were performed with SPSS (15.0) and negative binomial regression analyses were performed with Stata (8.2).
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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.
Findings of the binomial regression analyses are presented in Table 2.
Multivariate negative-binomial regression analyses were used to identify risk factors for the number of presentations to hospital.
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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