TABLE 6.

Evaluation of the predictive performance of piperacillin population models^a

Model	Log likelihood	R2	Bias (ME, mg/liter)	MWE (mg/liter)	Precision (MSE [mg/liter]2)	MWSE (mg/liter)
MM	−485.9	0.973	0.37	0.05	143.3	4.55
MM-kel combination (kel as a function of CLCR)b	−645.7	0.956	0.17	−0.42	270.0	7.12
MM-kel combination (no descriptors for kel)	−700.9	0.960	−5.23	−0.93	227.7	8.26
Linear kel	−1,246.3	0.881	−11.74	−0.11	905.1	29.94

^aME, mean error; MSE, mean squared error.

^bCalculated as 0.01 + (k_s × CL_CR), with k_s fixed at 0.0052 h⁻¹.