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All clinical features with ρ < 0.10 were entered into a logistics regression model.
These statistically significant variables were found in the univariate analysis (P, 0.05), and the Logistics Regression Model.
The primary outcomes were analyzed by univariate and multivariate Cox regression model and the logistics regression model.
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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.
Table 13 Logistic regression model.
dominant logistic regression model and 1-d.f.
* : non- logistic regression model.
aSimple logistic regression model.
bBinary logistic regression model.
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