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To determine the association between different factors and RH knowledge and services utilization, a logistic regression model was employed and two steps were followed.
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The predicted utilization was calculated using a logistic regression propensity score model including patient demographics and the variables that contribute to the Elixhauser comorbidity score, 9 with stepwise selection (P<0.3 to enter, P<0.2 to stay) without interaction terms.
Using a descriptive and a logistic regression analysis to assess the effectiveness on utilization of health services adjusting for explanatory variables (Tables 2 and 3).
We applied a logistic regression methodology.
Those variables were analyzed using a logistic regression.
A logistic regression tool models the probability by a logistic function, formulated in (2).
These tendencies were statistically analyzed using a logistic regression model.
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A logistic regression has been undertaken alongside descriptive statistical analyses.
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