Online Program Home
My Program

Abstract Details

Activity Number: 496
Type: Contributed
Date/Time: Wednesday, August 3, 2016 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract #321217 View Presentation
Title: A Semiparametric Multi-State Survival Model for Correlated Interval-Censored Life History Data in Caries Research
Author(s): Daewoo Pak* and Chenxi Li and David Todem
Companies: Michigan State University and Michigan State University and Michigan State University
Keywords: frailty model ; spline model ; penalized likelihood ; Multi-state Markov model ; dental caries

In this talk, we propose a semiparametric multi-state frailty survival model to analyze tooth-level life course data in caries research. The model specifically accommodates non-trivial design complications including intra-oral clustering, interval censoring, multiplicity of caries states, and does not impose a parametric restriction on the baseline intensities. We establish a connection between this model and the classical mixed-effects model to conduct estimation and inference using a penalized likelihood. More importantly, the connection with the mixed effects model allows us to view the penalty parameters as variance components which are simultaneously estimated with other model parameters. Numerical experiments demonstrate that the proposed methods perform very well in finite samples with small-to-moderate sizes. The practical utility of the model is illustrated using life course data from a unique longitudinal study of dental caries in low-income urban African-American children.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2016 program

Copyright © American Statistical Association