TY - JOUR AU - Donoghoe, Mark W. AU - Gebski, Val PY - 2017 DA - 2017/04/04 TI - The importance of censoring in competing risks analysis of the subdistribution hazard JO - BMC Medical Research Methodology SP - 52 VL - 17 IS - 1 AB - The analysis of time-to-event data can be complicated by competing risks, which are events that alter the probability of, or completely preclude the occurrence of an event of interest. This is distinct from censoring, which merely prevents us from observing the time at which the event of interest occurs. However, the censoring distribution plays a vital role in the proportional subdistribution hazards model, a commonly used method for regression analysis of time-to-event data in the presence of competing risks. SN - 1471-2288 UR - https://doi.org/10.1186/s12874-017-0327-3 DO - 10.1186/s12874-017-0327-3 ID - Donoghoe2017 ER -