<p>Results are expressed as Odd Ratio and (95% confidence interval).</p><p>–, not retained in the model.</p
1<p>Model excludes subjects with diagnosed T2DM. Final model covariates entered in order: dyslipidae...
<p>OR and 95%CI of multilevel logistic adjusted regressions in diabetic patients: dependent variable...
<p>AUC is the area under the receiver-operator characteristic curve. Odds ratios are displayed as od...
<p>Results of multivariate logistic regression for prevalence, awareness, treatment and control of d...
<p>Logistic regression model adjusted for cigarette smoking and alcohol consumption, level of leisur...
<p>Multinomial regression model was applied to analyze risk factors of prediabetes and diabetes. Odd...
<p>Multivariate logistic regression analysis for predictive markers of progression to insulin-requir...
<p>Logistic regression analyses for the presence of diabetes according to resting heart rate.</p
<p>CI = Confidence interval; Bolded values indicate significant results NDSS = National Diabetes Ser...
<p>Results of multiple logistic regression analyses, odds ratios and 95% confidence intervals for in...
Univariate and multivariate logistic regression analysis with risk factors for diabetes in Bhutan.</...
<p>Results of simple and multivariable logistic regression analyses for female diabetes in Banglades...
1<p>Final model covariates entered in order: family history of T2DM, physical activity, on Rx for hy...
<p>Sample size, <i>n</i> = 180. Data are expressed as odds ratios ±95% confidence intervals (CI) as ...
<p>Results of simple and multivariable logistic regression analyses for male diabetes in Bangladesh....
1<p>Model excludes subjects with diagnosed T2DM. Final model covariates entered in order: dyslipidae...
<p>OR and 95%CI of multilevel logistic adjusted regressions in diabetic patients: dependent variable...
<p>AUC is the area under the receiver-operator characteristic curve. Odds ratios are displayed as od...
<p>Results of multivariate logistic regression for prevalence, awareness, treatment and control of d...
<p>Logistic regression model adjusted for cigarette smoking and alcohol consumption, level of leisur...
<p>Multinomial regression model was applied to analyze risk factors of prediabetes and diabetes. Odd...
<p>Multivariate logistic regression analysis for predictive markers of progression to insulin-requir...
<p>Logistic regression analyses for the presence of diabetes according to resting heart rate.</p
<p>CI = Confidence interval; Bolded values indicate significant results NDSS = National Diabetes Ser...
<p>Results of multiple logistic regression analyses, odds ratios and 95% confidence intervals for in...
Univariate and multivariate logistic regression analysis with risk factors for diabetes in Bhutan.</...
<p>Results of simple and multivariable logistic regression analyses for female diabetes in Banglades...
1<p>Final model covariates entered in order: family history of T2DM, physical activity, on Rx for hy...
<p>Sample size, <i>n</i> = 180. Data are expressed as odds ratios ±95% confidence intervals (CI) as ...
<p>Results of simple and multivariable logistic regression analyses for male diabetes in Bangladesh....
1<p>Model excludes subjects with diagnosed T2DM. Final model covariates entered in order: dyslipidae...
<p>OR and 95%CI of multilevel logistic adjusted regressions in diabetic patients: dependent variable...
<p>AUC is the area under the receiver-operator characteristic curve. Odds ratios are displayed as od...
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