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Kinetic nonlinear mixed-effects model fit by SAEM
Structural model:
d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
* parent
d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
* exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *
exp(-k2 * time))) * parent - k_m1 * m1
Data:
509 observations of 2 variable(s) grouped in 15 datasets
Likelihood computed by importance sampling
AIC BIC logLik
2692 2702 -1333
Fitted parameters:
estimate lower upper
parent_0 1e+02 99.303 1e+02
k_m1 2e-03 0.002 3e-03
f_parent_to_m1 5e-01 0.448 5e-01
k1 4e-02 0.024 6e-02
k2 2e-02 0.009 2e-02
g 5e-01 0.381 6e-01
Var.parent_0 2e+00 -0.551 4e+00
Var.k_m1 2e-02 -0.151 2e-01
Var.f_parent_to_m1 8e-02 0.018 1e-01
Var.k1 5e-01 0.095 9e-01
Var.k2 6e-01 0.125 1e+00
Var.g 7e-02 -0.245 4e-01
a.1 3e+00 2.569 3e+00
SD.parent_0 1e+00 0.390 2e+00
SD.k_m1 1e-01 -0.478 8e-01
SD.f_parent_to_m1 3e-01 0.175 4e-01
SD.k1 7e-01 0.422 1e+00
SD.k2 8e-01 0.471 1e+00
SD.g 3e-01 -0.326 9e-01
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