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To evaluate the predictive performances of the population parameters, 17 new subjects were used. The bias was not statistically different from zero and the precision of the estimates was 0.415 L/hr using parametric method and 0.984 L/hr using semiparametric method. This estimation was compared with clearances estimated using standard nonlinear weighted least squares approach (reference value, 7.64 L/hr). The mean posterior individual clearance values were 7.73 L/hr using both parametric and semiparametric methods. The population PK parameters were estimated using a Constrained Longitudinal Splines (CLS) semiparametric approach and a first-order conditional method (FOCE). Routine clinical pharmacokinetic (PK) data collected from patients receiving inulin were analyzed to estimate population PK parameters 560 plasma concentration determinations for inulin were obtained from 90 patients.
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Predictive Performance of a Semiparametric Method to Estimate Population Pharmacokinetic Parameters Using NONMEM Predictive Performance of a Semiparametric Method to Estimate Population Pharmacokinetic.