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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 -696
Fitted parameters:
estimate lower upper
parent_0 100.00 99.00 100.00
log_k1 -2.70 -3.00 -2.50
log_k2 -4.10 -4.30 -4.00
g_qlogis -0.35 -0.53 -0.16
a.1 0.92 0.68 1.20
b.1 0.05 0.04 0.06
SD.log_k1 0.37 0.23 0.51
SD.log_k2 0.23 0.14 0.31
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