Skip to main content
. 2016 Aug 19;71(11):3168–3178. doi: 10.1093/jac/dkw295

Table 2.

Model diagnostics for the PK models

Model Log-likelihood Pop r2a Post r2a Slope (95% CI) Intercept (95% CI)
Standard PK −253.8 0.159 0.814 0.925 (−1.3–2.8) 0.768 (−1.3–2.8)
Linear (weight) PK −254.1 0.271 0.807 0.941 (0.8–1.04) 0.922 (−1.14–2.98)
Allometric (weight) PK −254.4 0.249 0.815 0.981 (0.9–1.1) 0.26 (−1.8–2.3)

Pop, population; Post, individual posteriors.

aRelative to the regression line fitted for the observed versus predicted values before and after the Bayesian step.