How is the probability of a competing event regulated?
As a result, we call the probability of these events as “competing risks”, in a sense that the probability of each competing event is somehow regulated by the other competing events, which has an interpretation suitable to describe the survival process determined by multiple types of events.
When does a patient have a competing risk?
Competing risks are said to be present when a patient is at risk of more than one mutually exclusive event, such as death from di erent causes, and the occurrence of one of these will prevent any other event from ever happening. Gichangi & Vach (2005) Sally R. Hinchli e University of Leicester, 2012 4 / 34.
What do you need to know about competing risk analysis?
1 Overview. Competing risk analysis refers to a special type of survival analysis that aims to correctly estimate marginal probability of an event in the presence of competing events. 2 Description. What is “competing event” and “competing risk”? 3 Readings. J.
What is the subdistribution hazard function for event type C?
The Fine and Gray subdistribution hazard function for event type c can be expressed as: The above function estimates the hazard rate for event type c at time t based on the risk set that remains at time t after accounting for all previously occurring event types, which includes competing events.
What is the object of a competing event analysis?
Like in standard survival analysis, the analytical object for competing event data is to estimate the probability of one event among the many possible events over time, allowing the subjects to fail from competing events.
Can a person experience more than one type of event?
In standard survival data, subjects are supposed to experience only one type of event over follow-up, such as death from breast cancer. On the contrary, in real life, subjects can potentially experience more than one type of a certain event.