Figure 3.
Exposure-outcome relationships based on the Ctrough_1 of key secondary outcomes in the developmental cohort. Shown are graphical assessments of E-R relationships, using scatter plots with local polynomial regression lines (ie, Loess smooth regression; blue line). Each dot represents a single patient and associated Ctrough_1 and the probability of the event (0 [−], event absent; 1 [+], event present). This analysis demonstrates no associations between Ctrough_1 and any of the tested outcomes. The shaded area represents 95% CI for the typical value. CMV- and EBV-related outcomes are assessed as approximation because the censoring event (ie, relapse) is treated as absence of the outcome of interest. All of the other outcomes do not have censoring events. P values are calculated using logistic regression.

Exposure-outcome relationships based on the Ctrough_1 of key secondary outcomes in the developmental cohort. Shown are graphical assessments of E-R relationships, using scatter plots with local polynomial regression lines (ie, Loess smooth regression; blue line). Each dot represents a single patient and associated Ctrough_1 and the probability of the event (0 [−], event absent; 1 [+], event present). This analysis demonstrates no associations between Ctrough_1 and any of the tested outcomes. The shaded area represents 95% CI for the typical value. CMV- and EBV-related outcomes are assessed as approximation because the censoring event (ie, relapse) is treated as absence of the outcome of interest. All of the other outcomes do not have censoring events. P values are calculated using logistic regression.

Close Modal

or Create an Account

Close Modal
Close Modal