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. 2021 Oct 31;61(3):387–400. doi: 10.1007/s40262-021-01071-5

Table 4.

Summary of models with data from intravenous administration

Model Ref. model Description OFV ∆OFV MS $COV
Linear PK model
 1 NA Two-compartmental model with first-order elimination from central compartment 7145.165 Y Y
 1a 1 Allometric exponents fixed to default values (0.75 for CL and one for Vc and Vp) 7257.539 112.3 Y Y
Michaelis–Menten model
 2 1 Inclusion of a nonlinear pathway (Vmax, Km) 7021.446 − 123.7 Y Y
Kdec on Vmax
 3 2 Time-dependent Vmax (decreasing with time) 6997.523 − 23.9 Y N
CL and CLNL(t)
 4 1 Rituximab model (CL and time-dependent CLNL) 7136.615 − 8.6 Y N
Covariate analysis
 5 3 SSc Study on Vmax 6946.843 − 50.7 Y Y
 6 5 ADAT effect on CL 6947.309 0.466 Y Y
Correlation model
 7 5 BLOCK (CL, Vmax) 6946.794 − 0.049 Y Y

ADAT time-varying antidrug antibody, CL systemic clearance, CLNL time-dependent nonlinear clearance, MS minimization successful in NONMEM output, NA not applicable, OFV objective function value, PK pharmacokinetic, SSc systemic sclerosis, Vc volume of distribution in the central compartment, Vp volume of distribution in the peripheral compartment Vmax maximum velocity, $COV covariance step (NONMEM)