Figures & data
Table 1 Demographic and viro-immunological characteristics of the sample overall and by site
Table 2 Individual annual HAART costs according to selected variables
Figure 1 Coefficient progression for individual HAART costs, according to the GLMSELECT procedure. Factors were included in the analysis as follows: HAART line (haartl), AIDS event (AIDS), detectable HIV viral load (vl_20), and current CD4 count (cd4_100). Deflections from the starting point are directly correlated with the impact of each determinant on HAART costs, ie, the more the deflection is, the more HAART costs are influenced from such factor. HAART line is the most important factor influencing HAART costs.
Table 3 Multivariable regression predicting individual annual HAART costs
Figure S1 Evolution of the ASE at each step of the GLMSELECT procedure. Factors were included in the analysis as follows: HAART line (HAARTl), AIDS event (AIDS), detectable HIV viral load (vl_20), and current CD4 count (cd4_100).
Abbreviations: Adj R-Sq, adjusted R-squared; ASE, average squared error; AIC, Akaike’s Infor ma tion Criterion; BIC, Bayesian Information Criterion; HAART, highly active antiretroviral therapy; LASSO, least absolute shrinkage and selection operator; LAR, least angle regression; AICC, corrected Akaike’s information criterion; C(p), Mallows statistic; SBC, Schwarz Bayesian information criterion.
