Semiparametric Regression Analysis of Interval-Censored Multi-State Data with An Absorbing State.

ABSTRACT: In studies of chronic diseases, the health status of a subject can often be characterized by a finite number of transient disease states and an absorbing state, such as death. The times of transitions among the transient states are ascertained through periodic examinations and thus interval-censored. The time of reaching the absorbing state is known or right-censored, with the transient state at the previous instant being unobserved. In this paper, we provide a general framework for analyzing such multi-state data. We formulate the effects of potentially time-dependent covariates on the multi-state disease process through semiparametric proportional intensity models with random effects. We combine nonparametric maximum likelihood estimation with sieve estimation and develop a stable expect

SUBMITTER: Gu Y 

PROVIDER: S-EPMC12346158 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature