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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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