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Changes of biomarker concentrations over time in survivors and decedents were compared using two-way analysis of variance for repeated measurements on log-transformed data when appropriate.
The results of these correlations at 1 year remained similar when taking into account the AUC for clinical variables and the mean biomarker concentrations over time.
Changes in biomarker concentrations over time were related to sunitinib exposure by indirect response models with linear, inhibitory Emax (Imax), and sigmoid Imax drug effect relationships.
Log-transformed biomarker concentrations over time (days 1, 3, 8) in survivors and non-survivors were analyzed by two-way analysis of variance (ANOVA) to estimate the effects of the two factors, time and survival, on biomarker levels.
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We also calculated the correlation between the mean within-patient biomarker concentration over time and the average disease activity over time, calculated as the area under the curve standardized to time (AUC).
Second, because of the variability of urinary BPA concentrations over time, using this biomarker could result in exposure misclassification.
The observed increases from baseline (biomarker at time 0, BM0) in VEGF (change in objective function value or ΔOFV = 52.4) and sKIT (ΔOFV = 31.8) concentrations over time in untreated patients were described by a linear disease progression model dependent on time (DP t)) with a common parameter (DPslope; Eq. 3).
Figure 2 displays the APC Cdc20 concentrations over time.
Metabolite concentrations over time.
The PBDEs show increasing concentrations over time.
Conversely, THRIVE maintains high pharyngeal oxygen concentrations over time.
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