<p>Estimated adjusted ORs together with their respective 95% confidence intervals for the parameter estimates for the logistic regression model.</p
<p><sup>a</sup>ORs were adjusted for all variables in the table.</p><p>The adjusted ORs for the risk...
<p>Final logistic regression models for the association of the independent variables and met needs w...
<p>Logistic regression model coefficient estimates derived using Bayesian model averaging.</p
<p>Adjusted odds ratios of the features in a fitted multiple logistic regression model and their cor...
<p>Binary Logistic Regression Model Odds Ratios with 95% Confidence Intervals.</p
<p>Univariable and multivariable logistic regression derived ORs and 95% confidence intervals (CI) f...
Univariable ORs (95% confidence intervals) for risk factors and logistic regression models for neona...
<p>Adjusted odds ratios(AOR) and 95% CI of adjusted odds ratios for the multilevel mixed-effects ord...
<p>Parameter estimates and 95% credible intervals for the categorical variables of the chosen model....
Adjusted odds ratios estimating associations between pre-specified parameters and outcomes, by logis...
<p>Univariable and multivariable logistic regression derived ORs and 95% confidence intervals (CI) f...
<p>CI: Confidence interval.</p><p>*: p value is 0.05 or less;</p><p>**: p value is 0.01 or less.</p>...
<p>Odds ratios and adjusted 95% confidence limits for parameters from best supported models.</p
<p>The estimated parameters and <i>p</i>-values of the explanatory variables obtained from the multi...
Mean values (95% confidence interval) of the parameters used in the regression analysis.</p
<p><sup>a</sup>ORs were adjusted for all variables in the table.</p><p>The adjusted ORs for the risk...
<p>Final logistic regression models for the association of the independent variables and met needs w...
<p>Logistic regression model coefficient estimates derived using Bayesian model averaging.</p
<p>Adjusted odds ratios of the features in a fitted multiple logistic regression model and their cor...
<p>Binary Logistic Regression Model Odds Ratios with 95% Confidence Intervals.</p
<p>Univariable and multivariable logistic regression derived ORs and 95% confidence intervals (CI) f...
Univariable ORs (95% confidence intervals) for risk factors and logistic regression models for neona...
<p>Adjusted odds ratios(AOR) and 95% CI of adjusted odds ratios for the multilevel mixed-effects ord...
<p>Parameter estimates and 95% credible intervals for the categorical variables of the chosen model....
Adjusted odds ratios estimating associations between pre-specified parameters and outcomes, by logis...
<p>Univariable and multivariable logistic regression derived ORs and 95% confidence intervals (CI) f...
<p>CI: Confidence interval.</p><p>*: p value is 0.05 or less;</p><p>**: p value is 0.01 or less.</p>...
<p>Odds ratios and adjusted 95% confidence limits for parameters from best supported models.</p
<p>The estimated parameters and <i>p</i>-values of the explanatory variables obtained from the multi...
Mean values (95% confidence interval) of the parameters used in the regression analysis.</p
<p><sup>a</sup>ORs were adjusted for all variables in the table.</p><p>The adjusted ORs for the risk...
<p>Final logistic regression models for the association of the independent variables and met needs w...
<p>Logistic regression model coefficient estimates derived using Bayesian model averaging.</p
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