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Odds ratio (OR) with 99% confidence interval (CI) and model fit (c-statistic and R ) were calculated per diagnosis group and per age group using the main multivariate logistic regression model.
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A propensity score weighted generalized linear model was used as the main multivariate analysis method; age, baseline A1c, copay, initial year, region, health plan, diabetes education, baseline comorbidities, diabetes medication, health care utilizations, and costs were controlled in the model.
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Multiple missing imputation procedures in Stata 12.0 [ 43], using the multivariate chained approach with ten imputation procedures, were employed before the main analyses were conducted.
Multiple missing imputation procedures in Stata 12.0, using the multivariate normal approach with 10 imputation procedures, were employed for these variables before the main analyses were conducted [ 47].
The main prognostic factors affecting the survival rate of patients with supraglottic laryngeal carcinoma was screened using the multivariate Cox regression model.
In addition to the univariate analyses, we evaluated the alteration in the cortical currents using the decoding method (multivariate analysis).
Regional equations were developed using the multivariate regression technique.
The right panel shows the multivariate regression analysis using the first three main components of PCA.
In a recent study [41], 9948 US patients formed the reference for building a pre-screening tool to predict T2D using two main methods, multivariate logistic regression and random forest model.
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