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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 1.002e+02 99.302986 1.011e+02
k_m1 2.182e-03 0.001576 2.788e-03
f_parent_to_m1 4.883e-01 0.447687 5.289e-01
k1 4.014e-02 0.023941 5.634e-02
k2 1.517e-02 0.008507 2.184e-02
g 5.007e-01 0.380534 6.208e-01
Var.parent_0 1.511e+00 -0.551247 3.574e+00
Var.k_m1 1.912e-02 -0.151313 1.896e-01
Var.f_parent_to_m1 8.082e-02 0.018430 1.432e-01
Var.k1 5.037e-01 0.095343 9.121e-01
Var.k2 6.129e-01 0.124868 1.101e+00
Var.g 7.107e-02 -0.244901 3.870e-01
a.1 2.749e+00 2.568674 2.929e+00
SD.parent_0 1.229e+00 0.390443 2.068e+00
SD.k_m1 1.383e-01 -0.477984 7.545e-01
SD.f_parent_to_m1 2.843e-01 0.174562 3.940e-01
SD.k1 7.097e-01 0.422037 9.974e-01
SD.k2 7.829e-01 0.471184 1.095e+00
SD.g 2.666e-01 -0.326044 8.592e-01
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