*<p> = p-value for test of trend; otherwise P-value derived from Wald test.</p><p>Multivariable linear regression model; marginal adjusted means for RNFL parameters were estimated at the mean value of covariates in the model.</p><p>Adjusted for age, gender, smoking status, mean arterial blood pressure, BMI, nadir and current CD4 count, ART regimen and all parameters displayed in table.</p
Coefficient estimates for the effect of HIV status on log10-transformed plasma biomarker level divid...
<p>Model 2—Multivariate regression results showing significant associations of plasma biomarker with...
<p>Parameters associated with Recent HIV Infections (RHI) by univariate and multivariate logistic re...
<p>Multivariable linear regression model; marginal adjusted means for RNFL parameters were estimated...
*<p>) Multivariate linear regression model. The following additional parameters were included in the...
Parameter estimates (effect of each parameter on the mean value) and 95% confidence intervals (95% C...
1<p>Numbers are kg/m<sup>2</sup> changes in Fat Mass Index per unit increase in row covariate given ...
<p>Univariate and multivariate linear regression analysis: role of several parameters on insulin lev...
<p> <i>β: coefficient of regression. P level: significance of correlation. r<sup>2</...
<p>Regression modeling was conducted on the natural log transformed plasma biomarker concentrations ...
<p>Bivariable regression analyses shown are performed on combined HIV negative and HIV positive part...
<p>Bivariate and multivariate logistic regression models for risk of late-stage HIV disease (CD4<100...
<p> <i>(n = 6194; adjusted for ethnicity, and other variables in the model, and stra...
Simple logistic regressions evaluating HIV-status, WHO stage, CD4 count, and ART as predictors of hy...
Each point represents the adjusted percentage difference in mean biomarker levels comparing particip...
Coefficient estimates for the effect of HIV status on log10-transformed plasma biomarker level divid...
<p>Model 2—Multivariate regression results showing significant associations of plasma biomarker with...
<p>Parameters associated with Recent HIV Infections (RHI) by univariate and multivariate logistic re...
<p>Multivariable linear regression model; marginal adjusted means for RNFL parameters were estimated...
*<p>) Multivariate linear regression model. The following additional parameters were included in the...
Parameter estimates (effect of each parameter on the mean value) and 95% confidence intervals (95% C...
1<p>Numbers are kg/m<sup>2</sup> changes in Fat Mass Index per unit increase in row covariate given ...
<p>Univariate and multivariate linear regression analysis: role of several parameters on insulin lev...
<p> <i>β: coefficient of regression. P level: significance of correlation. r<sup>2</...
<p>Regression modeling was conducted on the natural log transformed plasma biomarker concentrations ...
<p>Bivariable regression analyses shown are performed on combined HIV negative and HIV positive part...
<p>Bivariate and multivariate logistic regression models for risk of late-stage HIV disease (CD4<100...
<p> <i>(n = 6194; adjusted for ethnicity, and other variables in the model, and stra...
Simple logistic regressions evaluating HIV-status, WHO stage, CD4 count, and ART as predictors of hy...
Each point represents the adjusted percentage difference in mean biomarker levels comparing particip...
Coefficient estimates for the effect of HIV status on log10-transformed plasma biomarker level divid...
<p>Model 2—Multivariate regression results showing significant associations of plasma biomarker with...
<p>Parameters associated with Recent HIV Infections (RHI) by univariate and multivariate logistic re...