. 2024 May 3;23(4):1393–1409. doi: 10.1007/s10237-024-01846-2

Table 2.

Summary of the simulations performed to adjust the effect of age and menopause

Simulation #	Adjusted parameters			RMSE
S1	$k_{1} = 1.786 \cdot 10^{- 5}$	$k_{2} = 1.017 \cdot 10^{- 7}$	$T_{1} = 5504$	14.54%
S2	$k_{3} = 1.450 \cdot 10^{- 2}$	$k_{4} = 7.5 \cdot 10^{- 3}$	$T_{2} = 12780$	1.34%
S3	$k_{1} = 1.797 \cdot 10^{- 5}$	$k_{2} = 1.000 \cdot 10^{- 7}$	$T_{1} = 5475$	0.67%
	$k_{3} = 1.100 \cdot 10^{- 2}$	$k_{4} = 5.004 \cdot 10^{- 4}$	$T_{2} = 20072$
S4	$k_{5} = 1.600 \cdot 10^{- 2}$	$k_{6} = 1.000 \cdot 10^{- 5}$	$T_{3} = 100.2$	1.57%
S5	$k_{7} = 1.000 \cdot 10^{- 1}$	$k_{8} = 5.005 \cdot 10^{- 4}$	$T_{4} = 185$	1.75%
S6	$k_{9} = 5.000 \cdot 10^{3}$	$k_{10} = 4.957$	$T_{5} = 254.9$	1.55%
S7	$k_{5} = 3.446 \cdot 10^{- 4}$	$k_{6} = 1.009 \cdot 10^{- 6}$	$T_{3} = 154.4$	1.44%
	$k_{7} = 3.875 \cdot 10^{- 4}$	$k_{8} = 1.008 \cdot 10^{- 6}$	$T_{4} = 137.8$
	$k_{9} = 7.979 \cdot 10^{2}$	$k_{10} = 3.243$	$T_{5} = 143.3$

The slopes $k_{1}$ , $k_{2}$ , $k_{7}$ and $k_{8}$ are given in pM/days, $k_{3}$ , $k_{4}$ , $k_{5}$ and $k_{6}$ are given in pM/days², $k_{9}$ , $k_{10}$ are given in pM OPG/pM Cell/days² and the times $T_{j}$ in days. RMSE calculated against data given by Riggs et al. (2004)