Thus, survival prediction models differ from traditional prediction models for continuous or binary outcomes by appropriately accommodating censoring that is present in time-to-event data.to answer questions such as “What is the probability that this patient will be alive in 5 years, given their baseline covariate information?” This predicted probability can then be used by clinicians to make important decisions regarding patient care
概述：ChatGPT为NLP下的AI大模型，性能和使用体验超预期
The classic mediation model (that assumes independent observations, that is, no clustering) has been extensively studied . Extending the classic mediation model to clustered data is referred to as multilevel mediation analysis.