Joint frailty modeling of time-to-event data to elicit the evolution pathway of events: a generalized linear mixed model approach.

ABSTRACT: Multimorbidity constitutes a serious challenge on the healthcare systems in the world, due to its association with poorer health-related outcomes, more complex clinical management, increases in health service utilization and costs, but a decrease in productivity. However, to date, most evidence on multimorbidity is derived from cross-sectional studies that have limited capacity to understand the pathway of multimorbid conditions. In this article, we present an innovative perspective on analyzing longitudinal data within a statistical framework of survival analysis of time-to-event recurrent data. The proposed methodology is based on a joint frailty modeling approach with multivariate random effects to account for the heterogeneous risk of failure and the presence of informative censoring d

SUBMITTER: Ng SK 

PROVIDER: S-EPMC9766887 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature