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The primary outcome of hospice enrollment will be analyzed using logistic regression analysis.
This will help to identify biological meaningful epistatic interactions that could then be analyzed using logistic models.
Rates of major coronary events at 6 months, 12 months and 3 years will be analyzed using logistic regression analysis.
For the secondary outcome measures including relapse (relapse vs. no relapse), dichotomous outcomes will be analyzed using logistic regression with covariates.
Dichotomous outcomes at three and 12 months follow-up will be analyzed using logistic regression techniques and continuous outcomes with linear regression techniques.
Some health outcomes, such as prevalence and incident cases of lateral epicondylalgia, are binary variables and will be analyzed using logistic regression models for prevalence and proportional hazards regression models for incidence.
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The aforementioned aspects were analyzed using logistic regression analysis.
These data were analyzed using logistic regression analysis.
Associations between dependent variables and independent variables were analyzed using logistic regression model.
Prognostic indicators and the prediction model were analyzed using logistic regression.
The impact of mood stabilizers on reducing the risk of switching was analyzed using logistic regression analyses.
More suggestions(15)
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