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Odds ratios (and 95% confidence intervals) for back pain were obtained from logistics regression models and log-linear backward elimination analysis was performed.
Factor response was defined as a 50% improvement (reduction) in factor score from baseline to week 3. Receiver operating characteristic curves were constructed through the use of logistics regression models for each of the three treatment groups: aripiprazole treatment, comparative treatment (haloperidol and lithium combined), and placebo.
In these logistics regression models, demographics, socioeconomic status, and health practice are controlled for.
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All clinical features with ρ < 0.10 were entered into a logistics regression model.
The primary outcomes were analyzed by univariate and multivariate Cox regression model and the logistics regression model.
These statistically significant variables were found in the univariate analysis (P, 0.05), and the Logistics Regression Model.
*p < 0.05; **p < 0.01; ***p < 0.001; ORU: univariate odds ratio obtained from logistic regression models; ORm: odds ratios obtained from stepwise multivariate logistics regression analysis, using univariately significant variables as candidate variables; NS: not statistically significant in multivariate analysis.
Unadjusted logistic regression models.
Binary logistic regression models.
Table 13 Logistic regression model.
dominant logistic regression model and 1-d.f.
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