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. 2017 May 26;6(6):373–382. doi: 10.1002/psp4.12193

Table 3.

Parameter estimates and their uncertainty for the final tumor size, dropout, diastolic blood pressure, and overall survival models

Parameter Estimate (RSE%) IIV %CV (RSE%)
Tumor size model
KG (week−1) 0.00361 (1.8) 160 (20)
ksVEGFR‐3 (week−1) −0.174 (15)
λ (week−1) 0.101 (18) 72 (16)
RUV (%) 10.5 (8.2) 35 (21)
Dropout model
θ0 −6.11 (7.4)
θPD 1.22 (22)
θSLD (mm−1) 0.00282 (31)
θAUC (L·h−1·μg−1) −0.00529 (18)
θTime (day−1) 0.00371 (45)
Diastolic blood pressure model
dBP0 (mmHg) 78.9 (1.4) 6.7 (12)
ShapedBP0 −5.42 (42)
MRTdBP (days) 4.92 (19)
Emax,dBP 0.197 (14)
S0,dBP (L·h−1·μg−1) 0.00127 (50)a
RUV (mmHg) 6.13 (7.0)
Overall survival model
β0 7.09 (3.2)
γ 0.298 (22)
βSLD (mm−1) 0.0115 (17)

KG, tumor growth rate constant; ksVEGFR‐3, tumor size reduction rate constant related to soluble vascular endothelial growth factor receptor 3 (sVEGFR‐3) response, which is negative since sVEGFR‐3rel(t) is negative (reduction from baseline); λ, tumor resistance/regrowth appearance rate constant; RUV, residual unexplained variability; θ0, intercept of the logistic regression model; θPD, coefficient for the effect of occurrence of progressive disease; θSLD, coefficient for the effect of sum of longest diameters (SLD) at the time of evaluation; θAUC, coefficient for the effect of axitinib daily area under the curve (AUCdaily); θTime, coefficient for the effect of time since start of study; dBP0, baseline diastolic blood pressure; ShapedBP0, shape parameter in the Box‐Cox transformation of dBP0 random effects; MRTdBP, mean residence time of dBP response; Emax,dBP, maximum axitinib effect on diastolic blood pressure; S0,dBP, slope of the Emax model; β0, scale parameter of the log‐logistic baseline hazard model; γ, shape parameter of the log‐logistic baseline hazard model; βSLD, coefficient for the effect of longitudinal SLD on the hazard.

a

The 95% confidence interval obtained from sampling importance resampling was 0.609–3.14 μg·h/L.