Investigating hospital heterogeneity with a competing risks frailty model.

ABSTRACT: Survival analysis is used in the medical field to identify the effect of predictive variables on time to a specific event. Generally, not all variation of survival time can be explained by observed covariates. The effect of unobserved variables on the risk of a patient is called frailty. In multicenter studies, the unobserved center effect can induce frailty on its patients, which can lead to selection bias over time when ignored. For this reason, it is common practice in multicenter studies to include a random frailty term modeling center effect. In a more complex event structure, more than one type of event is possible. Independent frailty variables representing center effect can be incorporated in the model for each competing event. However, in the medical context, events representing d

SUBMITTER: Rueten-Budde AJ 

PROVIDER: S-EPMC6587741 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature