Receiver operating-characteristic (ROC) curve is a popular graphical method frequently used in order to study the diagnostic capacity of continuous (bio)markers. When the considered outcome is a time-dependent variable, the direct generalization is known ascumulative/dynamicROC curve. For a fixed point of time,t, one subject is allocated into thepositivegroup if the event happens beforetand into thenegativegroup if the event is not happened att. The presence ofcensoredsubject, which can not be directly assigned into a group, is the main handicap of this approach. The proposed cumulative/dynamic ROC curve estimator assigns a probability to belong to the negative (positive) group to the subjects censored previously tot. The performance of the resulting estimator is studied from Monte Carlo simulations. Some real-world applications are reported. Results suggest that the new estimators provide a good approximation to the real cumulative/dynamic ROC curve. [ABSTRACT FROM AUTHOR]