The Nonparametric Adaptive Grid Algorithm for Population Pharmacokinetic Modeling

The nonparametric adaptive grid (NPAG) algorithm is described. NPAG is a primal dual interior point method for determining the nonparametric maximum likelihood distribution of random parameters for a nonlinear regression model. In pharmacokinetic (PK) population modeling, NPAG is useful for the case where a series of measurements are made on diverse individuals, distinguished by diverse measurement conditions. This paper includes sufficient mat hematical background and program detail to allow computational scientists to translate NPAG from PK

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