1 List of Acronyms
CLtot total clearancepopulation pharmacokinetic
CLCR creatinine clearance
CONC observed concentration
Css concentration at steady-state
η random inter-individual variability η∼N(0, ω2)
HT height in cm
IPRE model predictions for the individual subject with random ηi
LBM lean body mass in kg
MIC minimum inhibitory concentration
NAD naive averaging data method
NONMEM nonlinear mixed-effects modeling
NPD naive pooled data
OF objective function: negative log of probability, − 2ln(Prob), OFV calculated by NONMEM
ω2 covariance matrix describing the between subject variability ηi ∼ N(0, ω2)
PK pharmacokinetics
PPK population pharmacokinetic
PRED model predictions for the population with η = 0
SEX 1 = male and 2 = female
σ2 covariance matrix describing the within subject or residual variability εi ∼ N(0, σ2)
STS standard two stage method
θ Vector of parameter, describing the fixed effect model
V volume of distribution
WT body weight [kg]
2 Purpose and Rationale
Variability...
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Weber, W., Rüppel, D. (2006). Population Pharmacokinetics in Drug Development. In: Vogel, H.G., Hock, F.J., Maas, J., Mayer, D. (eds) Drug Discovery and Evaluation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-29804-5_39
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