Fine-Gray model

The Fine-Gray model is a statistical method used to analyze time-to-event data when there are competing risks—different possible outcomes that can prevent the event of interest from occurring. For example, if studying the time until recovery from an illness, death from other causes is a competing risk. The Fine-Gray model focuses on estimating the likelihood of the specific event happening over time, accounting for these competing risks. This helps researchers understand the impact of different factors on the probability of the event, providing more accurate insights than traditional methods that ignore competing risks.