Figure 6.
Time for resolution of blood product recall events. (A) Time to resolve recall events for different blood product types. Significance was estimated using the Kruskal-Wallis test, P = 3.82 × 10−16. (B) Time to resolve recall events attributed to different reasons for recall. Significance was estimated using the Kruskal-Wallis test, P < 2.2 × 10−16. (C) Time-to-event survival curves for resolution of recall events attributed to different reasons for recall. Event here is defined as the resolution of a recall. Probability of survival of a recall event (ie, no resolution) is estimated and plotted as a function of time. Survival curves were constructed in R, using the survival package. Significance was estimated using the log-rank test in the ggsurvplot() function in the survival package, P < .001.

Time for resolution of blood product recall events. (A) Time to resolve recall events for different blood product types. Significance was estimated using the Kruskal-Wallis test, P = 3.82 × 10−16. (B) Time to resolve recall events attributed to different reasons for recall. Significance was estimated using the Kruskal-Wallis test, P < 2.2 × 10−16. (C) Time-to-event survival curves for resolution of recall events attributed to different reasons for recall. Event here is defined as the resolution of a recall. Probability of survival of a recall event (ie, no resolution) is estimated and plotted as a function of time. Survival curves were constructed in R, using the survival package. Significance was estimated using the log-rank test in the ggsurvplot() function in the survival package, P < .001.

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