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. Author manuscript; available in PMC: 2017 Aug 15.
Published in final edited form as: Clin Cancer Res. 2016 Mar 22;22(16):4206–4214. doi: 10.1158/1078-0432.CCR-15-2793

Table 1. Summary statistics of the treatment response data analysis.

The table displays statistics on the individual patient model fitting as well as whole cohort model fitting for the cohorts for the three trials during treatment. See SI, “Treatment phase model fitting”, for details.

VISTA MP cohort during
treatment
(255 patients)
VISTA VMP cohort during
treatment
(249 patients)
2-phasic
exponential
model
Exponential
model
2-phasic
exponential
model
Exponential
model
Min* of Ri2 0.089 0 0.174 0.002
1st Quartile* of Ri2 0.678 0.327 0.874 0.374
Median* of Ri2 0.865 0.629 0.929 0.645
Mean* of Ri2 0.787 0.572 0.889 0.577
3rd Quartile* of Ri2 0.938 0.847 0.962 0.813
Max* of Ri2 0.999 0.980 1 0.955
**Final R2 0.902 0.706 0.910 0.642
***Sum of BICs −1096.8 −978.9 −773.1 −480.5
MMY-2001 VMP cohort
during treatment
(40 patients)
MMY-2001 SVMP cohort
during treatment
(38 patients)
2-phasic
exponential
model
Exponential
model
2-phasic
exponential
model
Exponential
model
Min* of Ri2 0.684 0.007 0.187 0.003
1st Quartile* of Ri2 0.872 0.444 0.876 0.250
Median* of Ri2 0.926 0.630 0.948 0.399
Mean* of Ri2 0.912 0.573 0.883 0.473
3rd Quartile* of Ri2 0.968 0.731 0.968 0.773
Max* of Ri2 0.999 0.938 1 0.950
**Final R2 0.929 0.640 0.934 0.471
***Sum of BICs −313.9 −241.5 −309.5 −214.8
APEX DEX cohort during
treatment
(143 patients)
APEX VEL cohort during
treatment
(168 patients)
2-phasic
exponential
model
Exponential
model
2-phasic
exponential
model
Exponential
model
Min* of Ri2 0.054 0.000 0.228 0.000
1st Quartile* of Ri2 0.716 0.105 0.828 0.195
Median* of Ri2 0.846 0.370 0.937 0.529
Mean* of Ri2 0.799 0.404 0.873 0.498
3rd Quartile* of Ri2 0.944 0.684 0.983 0.777
Max* of Ri2 1.000 0.964 1.000 0.996
**Final R2 0.830 0.496 0.898 0.580
***Sum of BICs −1402.5 −1201.4 −1729.7 −1376.1
*

the Minimum/1st Quartile/Median/Mean/3rd Quartile/Maximum of the Ri2, i = 1, …, N, calculated from the corresponding fitted model for each individual patient, where N is the total number of patients and Ri2 = 1 - SSEi / SSTi;

**

Final R2, calculated as 1 - Σ SSEi / Σ SSTi, evaluates the overall fit of the corresponding model to the whole time series data with all patients for each cohort;

***

Sum of BICs is the sum of BICs over all subjects for each cohort.