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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_0 100.04 98.89 101.20
log_k1 -4.12 -4.24 -4.00
log_k2 -2.67 -2.90 -2.44
g_qlogis 0.43 0.22 0.64
a.1 0.92 0.67 1.16
b.1 0.05 0.04 0.06
SD.log_k1 0.22 0.14 0.30
SD.log_k2 0.36 0.21 0.51
SD.g_qlogis 0.14 -0.11 0.39
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