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Kinetic nonlinear mixed-effects model fit by saem using nlmixr
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:
507 observations of 2 variable(s) grouped in 15 datasets
Likelihood:
AIC BIC logLik
2400 2468 -1184
Fitted parameters:
Est. SE %RSE Back-transformed(95%CI) BSV(CV% or SD)
parent_0 100 0.685 0.682 100 (99, 102) 0.278
log_k_m1 -5.35 0.0812 1.52 0.00477 (0.00407, 0.00559) 13.7
f_parent_qlogis -0.091 0.096 106 0.477 (0.431, 0.524) 0.320
log_k1 -2.76 0.0969 3.5 0.063 (0.0521, 0.0762) 29.9
log_k2 -4.49 0.0658 1.47 0.0113 (0.00991, 0.0128) 18.6
g_qlogis -0.167 0.142 85.3 0.458 (0.39, 0.528) 0.339
sigma_low_parent 1.04 1.04
rsd_high_parent 0.0531 0.0531
sigma_low_m1 0.819 0.819
rsd_high_m1 0.058 0.058
Shrink(SD)%
parent_0 87.7%>
log_k_m1 44.8%>
f_parent_qlogis -0.375%>
log_k1 6.76%<
log_k2 10.4%<
g_qlogis 20.3%=
sigma_low_parent
rsd_high_parent
sigma_low_m1
rsd_high_m1
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