<p>Regression modeling was conducted on the natural log transformed plasma biomarker concentrations using HIV-status and age as covariates, and allowing an HIV/age interaction in the pooled HIVneg and HIVpos subjects. The best-fit line for the HIVpos (dark line, closed circles) and HIVneg (grey line, open circles) groups are shown for each biomarker. The HIV/age interaction coefficient and exact p-value are shown. A dotted horizontal line indicates zero on the natural log scale. (A) iFABP, (B) LPS, (C) sCD14, (D) sCD27, (E) hsCRP, and (F) IL6.</p
<p>Univariate and multivariate linear regression analysis: role of several parameters on insulin lev...
<p>Bivariate and multivariate logistic regression models for risk of late-stage HIV disease (CD4<100...
<p>Multivariable linear regression model; marginal adjusted means for RNFL parameters were estimated...
<p>Bivariable regression analyses shown are performed on combined HIV negative and HIV positive part...
Coefficient estimates for the effect of HIV status on log10-transformed plasma biomarker level divid...
<p>Plasma biomarkers were measured by ELISA in the plasma of subjects ranging from 24–81 years of ag...
<p>Model 2—Multivariate regression results showing significant associations of plasma biomarker with...
Each point represents the adjusted percentage difference in mean biomarker levels comparing particip...
Univariate and multivariate (adjusting for age) regression analyses, examining the relationship betw...
<p>Subjects were stratified into three age groups: young adult- 18–39 years of age; middle aged- 40–...
<p>A comparison of the slopes between HIV negative (open circles, dashed line; n = 53) and HIV posit...
Multivariate logistic regression showing factors associated with HIV after adjusting for demographic...
Bivariable and multivariable firth penalized logistic regression model analysis of factors associate...
Parameter estimates (effect of each parameter on the mean value) and 95% confidence intervals (95% C...
*<p> = p-value for test of trend; otherwise P-value derived from Wald test.</p><p>Multivariable line...
<p>Univariate and multivariate linear regression analysis: role of several parameters on insulin lev...
<p>Bivariate and multivariate logistic regression models for risk of late-stage HIV disease (CD4<100...
<p>Multivariable linear regression model; marginal adjusted means for RNFL parameters were estimated...
<p>Bivariable regression analyses shown are performed on combined HIV negative and HIV positive part...
Coefficient estimates for the effect of HIV status on log10-transformed plasma biomarker level divid...
<p>Plasma biomarkers were measured by ELISA in the plasma of subjects ranging from 24–81 years of ag...
<p>Model 2—Multivariate regression results showing significant associations of plasma biomarker with...
Each point represents the adjusted percentage difference in mean biomarker levels comparing particip...
Univariate and multivariate (adjusting for age) regression analyses, examining the relationship betw...
<p>Subjects were stratified into three age groups: young adult- 18–39 years of age; middle aged- 40–...
<p>A comparison of the slopes between HIV negative (open circles, dashed line; n = 53) and HIV posit...
Multivariate logistic regression showing factors associated with HIV after adjusting for demographic...
Bivariable and multivariable firth penalized logistic regression model analysis of factors associate...
Parameter estimates (effect of each parameter on the mean value) and 95% confidence intervals (95% C...
*<p> = p-value for test of trend; otherwise P-value derived from Wald test.</p><p>Multivariable line...
<p>Univariate and multivariate linear regression analysis: role of several parameters on insulin lev...
<p>Bivariate and multivariate logistic regression models for risk of late-stage HIV disease (CD4<100...
<p>Multivariable linear regression model; marginal adjusted means for RNFL parameters were estimated...