Semiparametric analysis of correlated and interval-censored event-history data.

ABSTRACT: We propose a semiparametric multi-state frailty model to analyze clustered event-history data subject to interval censoring. The proposed model is motivated by an attempt to study the life course of dental caries at the tooth level, taking into account the multiplicity of caries states and the intra-oral clustering of observations made at periodic time points. Of particular interest is the study of the intra-oral distribution of processes leading to carious lesions, and whether this distribution varies with gender. The model assumes, in view of the covariate profile, a proportionality of the transition intensities conditional on subject-level frailties, coupled with a linear spline approximation of the log baseline intensities. The model estimation is conducted using a penalized likelihood

SUBMITTER: Pak D 

PROVIDER: S-EPMC9983779 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature