Ignoring competing events in the analysis of survival data may lead to biased results: a nonmathematical illustration of competing risk analysis

ObjectiveCompeting events are often ignored in epidemiological studies. Conventional methods for the analysis of survival data assume independent or noninformative censoring, which is violated when subjects that experience a competing event are censored. Because many survival studies do not apply competing risk analysis, we explain and illustrate in a nonmathematical way how to analyze and interpret survival data in the presence of competing...