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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
Data:
270 observations of 1 variable(s) grouped in 15 datasets
Likelihood computed by importance sampling
AIC BIC logLik
1409 1415 -695
Fitted parameters:
estimate lower upper
parent_0 100.09 98.94 101.25
log_k1 -2.68 -2.91 -2.45
log_k2 -4.12 -4.24 -4.00
g_qlogis -0.41 -0.63 -0.20
a.1 0.91 0.67 1.15
b.1 0.05 0.04 0.06
SD.log_k1 0.36 0.21 0.50
SD.log_k2 0.22 0.13 0.30
SD.g_qlogis 0.15 -0.09 0.40
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