. 2020 May 4;10:7478. doi: 10.1038/s41598-020-63441-6

Table 3.

Final model parameter estimates.

	Typical estimate	BSV: CV%
*Model for biomarker response*
	LDH
MTT (weeks)	22.3 (12.49–37.318)	59.8 (44.7–113.5)
$T R_{50} (U \cdot 10^{6})$	23.7 (-)	—
LDH baseline (U/L)	225 (167.082–261.393)	31.3 (21.45–51.28)
$k_{p r o l} (w e e k s^{- 1})$	0.0029 (0.00196–0.0053)	58 (51.75–224.27)
$k_{k i l l_m a x} (w e e k s^{- 1})$	0.0077 (0.0056–0.012)	34 (31.3–128.45)
$k_{o u t} (w e e k s^{- 1})$	0.321 (0.189–0.822)	—
Residual error (%)	0.0521 (0.0376–0.0576)	NA*
	MIA
MTT (weeks)	33.1 (28.04–36.9)	63.8 (41.6–83)
$T R_{50} (U \cdot 10^{6})$	25.2 (-)	—
MIA baseline (ng/mL)	7.53 (5.57–7.85)	45.3 (27–54.8)
$k_{p r o l} (w e e k s^{- 1})$	0.0028 (0.0022–0.0042)	75.6 (69.2–141)
$k_{k i l l_m a x} (w e e k s^{- 1})$	0.0058 (0.003–0.0061)	34.6 (25.5–62.4)
$k_{o u t} (w e e k s^{- 1})$	0.369 (0.288–0.486)	—
Residual error (%)	0.248 (0.192–0.296)	NA
	S100B
MTT (weeks)	22.3 (-)	59.8 (-)
$T R_{50} (U \cdot 10^{6})$	19.9 (16.42–23.64)	—
S100B baseline (ng/mL)	0.0503 (0.038–0.0656)	42.4 (36.74–55.95)
$k_{p r o l} (w e e k s^{- 1})$	0.0023 (0.0017–0.0025)	56.2 (45.8–73.48)
$k_{k i l l_m a x} (w e e k s^{- 1})$	0.0065 (0.005–0.0072)	—
$k_{o u t} (w e e k s^{- 1})$	1.99 (1.71–2.49)	—
Residual error (%)	0.348 (0.3–0.424)	NA
*OS model*
$λ$	0.00181 (0.0016–0.0026)	—
$β_{Δ L D H r e l}$	1.1 (0.59–1.9)	—
*Myelosuppresion model*
$M T T_{A N C} (w e e k s)$	0.52	—
$A N C_{0} {(10}^{9} / L)$	3.41 (3.134–3.737)	32.4 (26.3–40)
$S l o p e (U \cdot 10^{- 4})$	0.0425 (0.0392–0.055)	—
$K_{e} (w e e k s^{- 1})$	0.389 (0.344–0.566)	52.4 (24.36–70.26)
$γ$	0.161	—
Residual error ( $10^{9} / L$ )	0.485 (0.465–0.501)	—

^*NA: Not Applicable.

90% confidence intervals (in parenthesis) were obtained from 500 bootstrap analyses.

Estimates of between-subject variability (BSV) are shown as coefficients of variation.

Parameter names are defined in the text.