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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
2510 2569 -1241
Fitted parameters:
Est. SE %RSE Back-transformed(95%CI) BSV(CV% or SD)
parent_0 100 0.444 0.442 100 (99.6, 101) 0.461
log_k_m1 -5.36 0.0804 1.5 0.00472 (0.00403, 0.00552) 21.5
f_parent_qlogis -0.0909 0.0868 95.5 0.477 (0.435, 0.52) 0.308
log_k1 -2.78 0.0977 3.51 0.0618 (0.0511, 0.0749) 30.1
log_k2 -4.51 0.08 1.77 0.011 (0.00941, 0.0129) 16.6
g_qlogis -0.121 0.17 141 0.47 (0.388, 0.553) 0.373
sigma_parent 3.72 3.72
sigma_m1 1.44 1.44
Shrink(SD)%
parent_0 69.2%>
log_k_m1 19.6%<
f_parent_qlogis -0.136%>
log_k1 6.71%<
log_k2 23.7%=
g_qlogis 19.5%<
sigma_parent
sigma_m1
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