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. 2011 Jun 20;6(6):e21189. doi: 10.1371/journal.pone.0021189

Table 2. Coefficient estimates from Akaike Information Criterion (AIC)-selected linear models of baseline Inline graphic and plasma HIV RNA on Stanford scores by drug class and demographic and risk factors.

Inline graphic Inline graphic plasma HIV RNA
Estimate (95% CI) Inline graphic value Estimate (95% CI) Inline graphic value
Inline graphic Inline graphic (Inline graphic, Inline graphic)Inline graphic 0.02 Inline graphic (Inline graphic, Inline graphic)Inline graphic 0.009
Inline graphic Inline graphic (Inline graphic, Inline graphic)Inline graphic 0.035 1.7 (0.04, 3.4)Inline graphic 0.045
Male NS 0.19 (0.06, 0.32) 0.006
Race/ethnicity
Black Inline graphic (Inline graphic, Inline graphic) Inline graphic Inline graphic (Inline graphic,Inline graphic) 0.007
Hispanic Inline graphic (Inline graphic, Inline graphic) Inline graphic NS

All estimates were averaged over an ensemble of linear models using Akaike weights. Only statistically significant (Inline graphic) terms after weighting are reported. Linear effects of factors were estimated relative to the model intercept, i.e., a hypothetical female white individual. NS = not significant.