ipcw_auc.Rd
Compute time-dependent IPCW AUC to account for censoring and competing risks.
ipcw_auc(T, delta, marker, cause, wts, tao)
T | vector of (censored) event-times |
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delta | vector of event indicators at the corresponding value of the vector T. Censored observations must be denoted by the value 0. |
marker | vector of the marker values for which we want to compute the time-dependent ROC curve. the function assumes that larger values of the marker are associated with higher risks of events |
cause | value of the event indicator (the non-censored observation) that represents the event of interest for which we aim to compute the time-dependent ROC curve. |
wts | IPC weights |
tao | evaluation time point of interest |
value of the AUC at tao